Deck 10: Chi-Square Tests and the F-Distribution

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Question
A sociologist believes that the levels of educational attainment of homeless persons are not uniformly
distributed. To test this claim, you randomly survey 100 homeless persons and record the educational
attainment of each. The results are shown in the following table. Find the critical value χ A sociologist believes that the levels of educational attainment of homeless persons are not uniformly distributed. To test this claim, you randomly survey 100 homeless persons and record the educational attainment of each. The results are shown in the following table. Find the critical value χ   to test the sociologistʹs claim. Use   = 0.10.  <div style=padding-top: 35px> to test the
sociologistʹs claim. Use A sociologist believes that the levels of educational attainment of homeless persons are not uniformly distributed. To test this claim, you randomly survey 100 homeless persons and record the educational attainment of each. The results are shown in the following table. Find the critical value χ   to test the sociologistʹs claim. Use   = 0.10.  <div style=padding-top: 35px> = 0.10. A sociologist believes that the levels of educational attainment of homeless persons are not uniformly distributed. To test this claim, you randomly survey 100 homeless persons and record the educational attainment of each. The results are shown in the following table. Find the critical value χ   to test the sociologistʹs claim. Use   = 0.10.  <div style=padding-top: 35px>
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Question
Many track runners believe that they have a better chance of winning if they start in the inside lane that is closest to the field. For the data below, the lane closest to the field is Lane 1, the next lane is Lane 2, and so on
Until the outermost lane, Lane 6. The data lists the number of wins for track runners in the different starting
Positions. Calculate the chi-square test statistic χ <strong>Many track runners believe that they have a better chance of winning if they start in the inside lane that is closest to the field. For the data below, the lane closest to the field is Lane 1, the next lane is Lane 2, and so on Until the outermost lane, Lane 6. The data lists the number of wins for track runners in the different starting Positions. Calculate the chi-square test statistic χ   to test the claim that the number of wins is uniformly Distributed across the different starting positions. The results are based on 240 wins.  </strong> A)6.750 B)9.326 C)12.592 D)15.541 <div style=padding-top: 35px> to test the claim that the number of wins is uniformly
Distributed across the different starting positions. The results are based on 240 wins. <strong>Many track runners believe that they have a better chance of winning if they start in the inside lane that is closest to the field. For the data below, the lane closest to the field is Lane 1, the next lane is Lane 2, and so on Until the outermost lane, Lane 6. The data lists the number of wins for track runners in the different starting Positions. Calculate the chi-square test statistic χ   to test the claim that the number of wins is uniformly Distributed across the different starting positions. The results are based on 240 wins.  </strong> A)6.750 B)9.326 C)12.592 D)15.541 <div style=padding-top: 35px>

A)6.750
B)9.326
C)12.592
D)15.541
Question
The frequency distribution shows the ages for a sample of 100 employees. Find the expected frequencies for
each class to determine if the employee ages are normally distributed. The frequency distribution shows the ages for a sample of 100 employees. Find the expected frequencies for each class to determine if the employee ages are normally distributed.  <div style=padding-top: 35px>
Question
A sociologist believes that the levels of educational attainment of homeless persons are not uniformly
distributed. To test this claim, you randomly survey 100 homeless persons and record the educational
attainment of each. The results are shown in the following table. At α A sociologist believes that the levels of educational attainment of homeless persons are not uniformly distributed. To test this claim, you randomly survey 100 homeless persons and record the educational attainment of each. The results are shown in the following table. At α   = 0.10, is there evidence to support the sociologistʹs claim that the distribution is not uniform?  <div style=padding-top: 35px> = 0.10, is there evidence to support the
sociologistʹs claim that the distribution is not uniform? A sociologist believes that the levels of educational attainment of homeless persons are not uniformly distributed. To test this claim, you randomly survey 100 homeless persons and record the educational attainment of each. The results are shown in the following table. At α   = 0.10, is there evidence to support the sociologistʹs claim that the distribution is not uniform?  <div style=padding-top: 35px>
Question
The frequency distribution shows the ages for a sample of 100 employees. Are the ages of employees normally
distributed? Use The frequency distribution shows the ages for a sample of 100 employees. Are the ages of employees normally distributed? Use   = 0.05.  <div style=padding-top: 35px> = 0.05. The frequency distribution shows the ages for a sample of 100 employees. Are the ages of employees normally distributed? Use   = 0.05.  <div style=padding-top: 35px>
Question
A coffeehouse wishes to see if customers have any preference among 5 different brands of coffee. A sample of 200 customers provided the data below. Calculate the chi-square test statistic χ <strong>A coffeehouse wishes to see if customers have any preference among 5 different brands of coffee. A sample of 200 customers provided the data below. Calculate the chi-square test statistic χ   to test the claim that the Distribution is uniform..  </strong> A)37.45 B)45.91 C)48.91 D)55.63 <div style=padding-top: 35px> to test the claim that the
Distribution is uniform.. <strong>A coffeehouse wishes to see if customers have any preference among 5 different brands of coffee. A sample of 200 customers provided the data below. Calculate the chi-square test statistic χ   to test the claim that the Distribution is uniform..  </strong> A)37.45 B)45.91 C)48.91 D)55.63 <div style=padding-top: 35px>

A)37.45
B)45.91
C)48.91
D)55.63
Question
A sociologist believes that the levels of educational attainment of homeless persons are not uniformly
distributed. To test this claim, you randomly survey 100 homeless persons and record the educational
attainment of each. The results are shown in the following table. Calculate the chi-square test statistic χ A sociologist believes that the levels of educational attainment of homeless persons are not uniformly distributed. To test this claim, you randomly survey 100 homeless persons and record the educational attainment of each. The results are shown in the following table. Calculate the chi-square test statistic χ   to test the sociologistʹs claim.  <div style=padding-top: 35px> to
test the sociologistʹs claim. A sociologist believes that the levels of educational attainment of homeless persons are not uniformly distributed. To test this claim, you randomly survey 100 homeless persons and record the educational attainment of each. The results are shown in the following table. Calculate the chi-square test statistic χ   to test the sociologistʹs claim.  <div style=padding-top: 35px>
Question
Each side of a standard six-sided die should appear approximately <strong>Each side of a standard six-sided die should appear approximately   of the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below. Find the critical value χ   to test the playerʹs claim. Use    </strong> A)9.236 B)1.610 C)12.833 D)11.071 <div style=padding-top: 35px> of the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below.
Find the critical value χ <strong>Each side of a standard six-sided die should appear approximately   of the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below. Find the critical value χ   to test the playerʹs claim. Use    </strong> A)9.236 B)1.610 C)12.833 D)11.071 <div style=padding-top: 35px> to test the playerʹs claim. Use <strong>Each side of a standard six-sided die should appear approximately   of the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below. Find the critical value χ   to test the playerʹs claim. Use    </strong> A)9.236 B)1.610 C)12.833 D)11.071 <div style=padding-top: 35px> <strong>Each side of a standard six-sided die should appear approximately   of the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below. Find the critical value χ   to test the playerʹs claim. Use    </strong> A)9.236 B)1.610 C)12.833 D)11.071 <div style=padding-top: 35px>

A)9.236
B)1.610
C)12.833
D)11.071
Question
Each side of a standard six-sided die should appear approximately <strong>Each side of a standard six-sided die should appear approximately   oof the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below. Calculate the chi-square test statistic χ   to test the playerʹs claim.  </strong> A)3.067 B)2.143 C)5.013 D)4.312 <div style=padding-top: 35px> oof the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below.
Calculate the chi-square test statistic χ <strong>Each side of a standard six-sided die should appear approximately   oof the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below. Calculate the chi-square test statistic χ   to test the playerʹs claim.  </strong> A)3.067 B)2.143 C)5.013 D)4.312 <div style=padding-top: 35px> to test the playerʹs claim. <strong>Each side of a standard six-sided die should appear approximately   oof the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below. Calculate the chi-square test statistic χ   to test the playerʹs claim.  </strong> A)3.067 B)2.143 C)5.013 D)4.312 <div style=padding-top: 35px>

A)3.067
B)2.143
C)5.013
D)4.312
Question
Each side of a standard six-sided die should appear approximately Each side of a standard six-sided die should appear approximately   of the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below. Test the playerʹs claim.    <div style=padding-top: 35px> of the time when the die is rolled. A
player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below.
Test the playerʹs claim. Each side of a standard six-sided die should appear approximately   of the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below. Test the playerʹs claim.    <div style=padding-top: 35px> Each side of a standard six-sided die should appear approximately   of the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below. Test the playerʹs claim.    <div style=padding-top: 35px>
Question
Many track runners believe that they have a better chance of winning if they start in the inside lane that is
closest to the field. For the data below, the lane closest to the field is Lane 1, the next lane is Lane 2, and so on
until the outermost lane, Lane 6. The data lists the number of wins for track runners in the different starting
positions. Test the claim that the number of wins is uniformly distributed across the different starting
positions. The results are based on 240 wins. Many track runners believe that they have a better chance of winning if they start in the inside lane that is closest to the field. For the data below, the lane closest to the field is Lane 1, the next lane is Lane 2, and so on until the outermost lane, Lane 6. The data lists the number of wins for track runners in the different starting positions. Test the claim that the number of wins is uniformly distributed across the different starting positions. The results are based on 240 wins.  <div style=padding-top: 35px>
Question
A random sample of 160 car crashes are selected and categorized by age. The results are listed below. The age distribution of drivers for the given categories is 18% for the under 26 group, 39% for the 26-45 group, 31% for
The 45-65 group, and 12% for the group over 65. Calculate the chi-square test statistic χ <strong>A random sample of 160 car crashes are selected and categorized by age. The results are listed below. The age distribution of drivers for the given categories is 18% for the under 26 group, 39% for the 26-45 group, 31% for The 45-65 group, and 12% for the group over 65. Calculate the chi-square test statistic χ   to test the claim that All ages have crash rates proportional to their driving rates.  </strong> A)75.101 B)85.123 C)101.324 D)95.431 <div style=padding-top: 35px> to test the claim that
All ages have crash rates proportional to their driving rates. <strong>A random sample of 160 car crashes are selected and categorized by age. The results are listed below. The age distribution of drivers for the given categories is 18% for the under 26 group, 39% for the 26-45 group, 31% for The 45-65 group, and 12% for the group over 65. Calculate the chi-square test statistic χ   to test the claim that All ages have crash rates proportional to their driving rates.  </strong> A)75.101 B)85.123 C)101.324 D)95.431 <div style=padding-top: 35px>

A)75.101
B)85.123
C)101.324
D)95.431
Question
A teacher figures that final grades in the statistics department are distributed as: A, 25%; B, 25%; C, 40%; D, 5%; F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Find the
Critical value χ <strong>A teacher figures that final grades in the statistics department are distributed as: A, 25%; B, 25%; C, 40%; D, 5%; F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Find the Critical value χ   to determine if the grade distribution for the department is different than expected. Use   .01.  </strong> A)13.277 B)11.143 C)9.488 D)7.779 <div style=padding-top: 35px> to determine if the grade distribution for the department is different than expected. Use <strong>A teacher figures that final grades in the statistics department are distributed as: A, 25%; B, 25%; C, 40%; D, 5%; F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Find the Critical value χ   to determine if the grade distribution for the department is different than expected. Use   .01.  </strong> A)13.277 B)11.143 C)9.488 D)7.779 <div style=padding-top: 35px> .01. <strong>A teacher figures that final grades in the statistics department are distributed as: A, 25%; B, 25%; C, 40%; D, 5%; F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Find the Critical value χ   to determine if the grade distribution for the department is different than expected. Use   .01.  </strong> A)13.277 B)11.143 C)9.488 D)7.779 <div style=padding-top: 35px>

A)13.277
B)11.143
C)9.488
D)7.779
Question
A teacher figures that final grades in the statistics department are distributed as: A, 25%; B, 25%; C, 40%; D, 5%;
F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Determine if
the grade distribution for the department is different than expected. Use A teacher figures that final grades in the statistics department are distributed as: A, 25%; B, 25%; C, 40%; D, 5%; F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Determine if the grade distribution for the department is different than expected. Use    <div style=padding-top: 35px> A teacher figures that final grades in the statistics department are distributed as: A, 25%; B, 25%; C, 40%; D, 5%; F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Determine if the grade distribution for the department is different than expected. Use    <div style=padding-top: 35px>
Question
Many track runners believe that they have a better chance of winning if they start in the inside lane that is closest to the field. For the data below, the lane closest to the field is Lane 1, the next lane is Lane 2, and so on
Until the outermost lane, Lane 6. The data lists the number of wins for track runners in the different starting
Positions. Find the critical value χ <strong>Many track runners believe that they have a better chance of winning if they start in the inside lane that is closest to the field. For the data below, the lane closest to the field is Lane 1, the next lane is Lane 2, and so on Until the outermost lane, Lane 6. The data lists the number of wins for track runners in the different starting Positions. Find the critical value χ   to test the claim that the number of wins is uniformly distributed across The different starting positions. The results are based on 240 wins.  </strong> A)11.070 B)9.236 C)15.086 D)12.833 <div style=padding-top: 35px> to test the claim that the number of wins is uniformly distributed across
The different starting positions. The results are based on 240 wins. <strong>Many track runners believe that they have a better chance of winning if they start in the inside lane that is closest to the field. For the data below, the lane closest to the field is Lane 1, the next lane is Lane 2, and so on Until the outermost lane, Lane 6. The data lists the number of wins for track runners in the different starting Positions. Find the critical value χ   to test the claim that the number of wins is uniformly distributed across The different starting positions. The results are based on 240 wins.  </strong> A)11.070 B)9.236 C)15.086 D)12.833 <div style=padding-top: 35px>

A)11.070
B)9.236
C)15.086
D)12.833
Question
A teacher figures that final grades in the statistics department are distributed as: A, 25%; B, 25%; C, 40%; D, 5%; F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Calculate
The chi-square test statistic χ <strong>A teacher figures that final grades in the statistics department are distributed as: A, 25%; B, 25%; C, 40%; D, 5%; F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Calculate The chi-square test statistic χ   to determine if the grade distribution for the department is different than Expected.  </strong> A)5.25 B)6.87 C)3.41 D)4.82 <div style=padding-top: 35px> to determine if the grade distribution for the department is different than
Expected. <strong>A teacher figures that final grades in the statistics department are distributed as: A, 25%; B, 25%; C, 40%; D, 5%; F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Calculate The chi-square test statistic χ   to determine if the grade distribution for the department is different than Expected.  </strong> A)5.25 B)6.87 C)3.41 D)4.82 <div style=padding-top: 35px>

A)5.25
B)6.87
C)3.41
D)4.82
Question
A new coffeehouse wishes to see whether customers have any preference among 5 different brands of coffee. A
sample of 200 customers provided the data below. Test the claim that the distribution is uniform. Use A new coffeehouse wishes to see whether customers have any preference among 5 different brands of coffee. A sample of 200 customers provided the data below. Test the claim that the distribution is uniform. Use   = 0.01.  <div style=padding-top: 35px> = 0.01. A new coffeehouse wishes to see whether customers have any preference among 5 different brands of coffee. A sample of 200 customers provided the data below. Test the claim that the distribution is uniform. Use   = 0.01.  <div style=padding-top: 35px>
Question
A coffeehouse wishes to see if customers have any preference among 5 different brands of coffee. A sample of 200 customers provided the data below. Find the critical value χ <strong>A coffeehouse wishes to see if customers have any preference among 5 different brands of coffee. A sample of 200 customers provided the data below. Find the critical value χ   to test the claim that the distribution is Uniform.    </strong> A)13.277 B)9.488 C)11.143 D)14.860 <div style=padding-top: 35px> to test the claim that the distribution is
Uniform. <strong>A coffeehouse wishes to see if customers have any preference among 5 different brands of coffee. A sample of 200 customers provided the data below. Find the critical value χ   to test the claim that the distribution is Uniform.    </strong> A)13.277 B)9.488 C)11.143 D)14.860 <div style=padding-top: 35px> <strong>A coffeehouse wishes to see if customers have any preference among 5 different brands of coffee. A sample of 200 customers provided the data below. Find the critical value χ   to test the claim that the distribution is Uniform.    </strong> A)13.277 B)9.488 C)11.143 D)14.860 <div style=padding-top: 35px>

A)13.277
B)9.488
C)11.143
D)14.860
Question
A random sample of 160 car crashes are selected and categorized by age. The results are listed below. The age
distribution of drivers for the given categories is 18% for the under 26 group, 39% for the 26-45 group, 31% for
the 46-65 group, and 12% for the group over 65. Test the claim that all ages have crash rates proportional to
their driving rates. Use A random sample of 160 car crashes are selected and categorized by age. The results are listed below. The age distribution of drivers for the given categories is 18% for the under 26 group, 39% for the 26-45 group, 31% for the 46-65 group, and 12% for the group over 65. Test the claim that all ages have crash rates proportional to their driving rates. Use   = 0.05.  <div style=padding-top: 35px> = 0.05. A random sample of 160 car crashes are selected and categorized by age. The results are listed below. The age distribution of drivers for the given categories is 18% for the under 26 group, 39% for the 26-45 group, 31% for the 46-65 group, and 12% for the group over 65. Test the claim that all ages have crash rates proportional to their driving rates. Use   = 0.05.  <div style=padding-top: 35px>
Question
A random sample of 160 car crashes are selected and categorized by age. The results are listed below. The age distribution of drivers for the given categories is 18% for the under 26 group, 39% for the 26-45 group, 31% for
The 45-65 group, and 12% for the group over 65. Find the critical value χ <strong>A random sample of 160 car crashes are selected and categorized by age. The results are listed below. The age distribution of drivers for the given categories is 18% for the under 26 group, 39% for the 26-45 group, 31% for The 45-65 group, and 12% for the group over 65. Find the critical value χ   to test the claim that all ages have Crash rates proportional to their driving rates. Use    </strong> A)7.815 B)6.251 C)11.143 D)9.348 <div style=padding-top: 35px> to test the claim that all ages have
Crash rates proportional to their driving rates. Use <strong>A random sample of 160 car crashes are selected and categorized by age. The results are listed below. The age distribution of drivers for the given categories is 18% for the under 26 group, 39% for the 26-45 group, 31% for The 45-65 group, and 12% for the group over 65. Find the critical value χ   to test the claim that all ages have Crash rates proportional to their driving rates. Use    </strong> A)7.815 B)6.251 C)11.143 D)9.348 <div style=padding-top: 35px> <strong>A random sample of 160 car crashes are selected and categorized by age. The results are listed below. The age distribution of drivers for the given categories is 18% for the under 26 group, 39% for the 26-45 group, 31% for The 45-65 group, and 12% for the group over 65. Find the critical value χ   to test the claim that all ages have Crash rates proportional to their driving rates. Use    </strong> A)7.815 B)6.251 C)11.143 D)9.348 <div style=padding-top: 35px>

A)7.815
B)6.251
C)11.143
D)9.348
Question
The contingency table below shows the results of a random sample of 200 state representatives that was conducted to see whether their opinions on a bill are related to their party affiliation. <strong>The contingency table below shows the results of a random sample of 200 state representatives that was conducted to see whether their opinions on a bill are related to their party affiliation.   Find the chi-square test statistic, χ   to test the claim of independence.</strong> A)8.030 B)11.765 C)7.662 D)9.483 <div style=padding-top: 35px> Find the chi-square test statistic, χ <strong>The contingency table below shows the results of a random sample of 200 state representatives that was conducted to see whether their opinions on a bill are related to their party affiliation.   Find the chi-square test statistic, χ   to test the claim of independence.</strong> A)8.030 B)11.765 C)7.662 D)9.483 <div style=padding-top: 35px> to test the claim of independence.

A)8.030
B)11.765
C)7.662
D)9.483
Question
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null
hypothesis and interpret the decision in the context of the original claim.
The data below shows the age and favorite type of music of 779 randomly selected people. Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. The data below shows the age and favorite type of music of 779 randomly selected people.   Test the claim that preferred music type is dependent on age. Use  <div style=padding-top: 35px> Test the claim that preferred music type is dependent on age. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. The data below shows the age and favorite type of music of 779 randomly selected people.   Test the claim that preferred music type is dependent on age. Use  <div style=padding-top: 35px>
Question
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null
hypothesis and interpret the decision in the context of the original claim.
The contingency table below shows the party and opinions on a bill of a random sample of 200 state
representatives. Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. The contingency table below shows the party and opinions on a bill of a random sample of 200 state representatives.   Test the claim that opinions on the bill are dependent on party affiliation. Use α   = 0.05 .<div style=padding-top: 35px> Test the claim that opinions on the bill are dependent on party affiliation. Use α Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. The contingency table below shows the party and opinions on a bill of a random sample of 200 state representatives.   Test the claim that opinions on the bill are dependent on party affiliation. Use α   = 0.05 .<div style=padding-top: 35px> = 0.05 .
Question
A sports researcher is interested in determining if there is a relationship between the type of sport and type of team winning (home team versus visiting team). A random sample of 526 games is selected and the results are
Given below. Calculate the chi-square test statistic χ <strong>A sports researcher is interested in determining if there is a relationship between the type of sport and type of team winning (home team versus visiting team). A random sample of 526 games is selected and the results are Given below. Calculate the chi-square test statistic χ   to test the claim that the type of team winning is Independent of the sport.  </strong> A)3.290 B)2.919 C)5.391 D)4.192 <div style=padding-top: 35px> to test the claim that the type of team winning is
Independent of the sport. <strong>A sports researcher is interested in determining if there is a relationship between the type of sport and type of team winning (home team versus visiting team). A random sample of 526 games is selected and the results are Given below. Calculate the chi-square test statistic χ   to test the claim that the type of team winning is Independent of the sport.  </strong> A)3.290 B)2.919 C)5.391 D)4.192 <div style=padding-top: 35px>

A)3.290
B)2.919
C)5.391
D)4.192
Question
A researcher wants to determine whether the number of minutes adults spend online per day is related to gender. A random sample of 315 adults was selected and the results are shown below. Calculate the chi -square
Test statistic χ <strong>A researcher wants to determine whether the number of minutes adults spend online per day is related to gender. A random sample of 315 adults was selected and the results are shown below. Calculate the chi -square Test statistic χ   to determine if there is enough evidence to conclude that the number of minutes spent online Per day is related to gender.  </strong> A)18.146 B)19.874 C)20.912 D)21.231 <div style=padding-top: 35px> to determine if there is enough evidence to conclude that the number of minutes spent online
Per day is related to gender. <strong>A researcher wants to determine whether the number of minutes adults spend online per day is related to gender. A random sample of 315 adults was selected and the results are shown below. Calculate the chi -square Test statistic χ   to determine if there is enough evidence to conclude that the number of minutes spent online Per day is related to gender.  </strong> A)18.146 B)19.874 C)20.912 D)21.231 <div style=padding-top: 35px>

A)18.146
B)19.874
C)20.912
D)21.231
Question
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null
hypothesis and interpret the decision in the context of the original claim.
A sports researcher is interested in determining if there is a relationship between the type of sport and type of
team winning (home team versus visiting team). A random sample of 526 games is selected and the results are
given below. Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. A sports researcher is interested in determining if there is a relationship between the type of sport and type of team winning (home team versus visiting team). A random sample of 526 games is selected and the results are given below.   Test the claim that the type of team winning is independent of the type of sport. Use  <div style=padding-top: 35px> Test the claim that the type of team winning is independent of the type of sport. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. A sports researcher is interested in determining if there is a relationship between the type of sport and type of team winning (home team versus visiting team). A random sample of 526 games is selected and the results are given below.   Test the claim that the type of team winning is independent of the type of sport. Use  <div style=padding-top: 35px>
Question
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null
hypothesis and interpret the decision in the context of the original claim.
A researcher is interested in determining if there is a relationship between exercise and blood pressure for
adults over 50. A random sample of 236 adults over 50 is selected and the results are given below. Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. A researcher is interested in determining if there is a relationship between exercise and blood pressure for adults over 50. A random sample of 236 adults over 50 is selected and the results are given below.   Test the claim that walking and blood pressure are independent. Use  <div style=padding-top: 35px> Test the claim that walking and blood pressure are independent. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. A researcher is interested in determining if there is a relationship between exercise and blood pressure for adults over 50. A random sample of 236 adults over 50 is selected and the results are given below.   Test the claim that walking and blood pressure are independent. Use  <div style=padding-top: 35px>
Question
A sports researcher is interested in determining if there is a relationship between the number of home team and visiting team wins and different sports. A random sample of 526 games is selected and the results are given
Below. Find the critical value χ <strong>A sports researcher is interested in determining if there is a relationship between the number of home team and visiting team wins and different sports. A random sample of 526 games is selected and the results are given Below. Find the critical value χ   to test the claim that the number of home team and visiting team wins is Independent of the sport. Use   = 0.01.  </strong> A)11.345 B)12.838 C)7.815 D)9.348 <div style=padding-top: 35px> to test the claim that the number of home team and visiting team wins is
Independent of the sport. Use <strong>A sports researcher is interested in determining if there is a relationship between the number of home team and visiting team wins and different sports. A random sample of 526 games is selected and the results are given Below. Find the critical value χ   to test the claim that the number of home team and visiting team wins is Independent of the sport. Use   = 0.01.  </strong> A)11.345 B)12.838 C)7.815 D)9.348 <div style=padding-top: 35px> = 0.01. <strong>A sports researcher is interested in determining if there is a relationship between the number of home team and visiting team wins and different sports. A random sample of 526 games is selected and the results are given Below. Find the critical value χ   to test the claim that the number of home team and visiting team wins is Independent of the sport. Use   = 0.01.  </strong> A)11.345 B)12.838 C)7.815 D)9.348 <div style=padding-top: 35px>

A)11.345
B)12.838
C)7.815
D)9.348
Question
Find the indicated expected frequency.
A researcher wants to determine whether the number of minutes adults spend online per day is related to gender. A random sample of 315 adults was selected and the results are shown below. Find the expected
Frequency for the cell <strong>Find the indicated expected frequency. A researcher wants to determine whether the number of minutes adults spend online per day is related to gender. A random sample of 315 adults was selected and the results are shown below. Find the expected Frequency for the cell   to determine if there is enough evidence to conclude that the number of minutes Spent online per day is related to gender. Round to the nearest tenth if necessary.  </strong> A)33 B)52.3 C)44 D)69.7 <div style=padding-top: 35px> to determine if there is enough evidence to conclude that the number of minutes
Spent online per day is related to gender. Round to the nearest tenth if necessary. <strong>Find the indicated expected frequency. A researcher wants to determine whether the number of minutes adults spend online per day is related to gender. A random sample of 315 adults was selected and the results are shown below. Find the expected Frequency for the cell   to determine if there is enough evidence to conclude that the number of minutes Spent online per day is related to gender. Round to the nearest tenth if necessary.  </strong> A)33 B)52.3 C)44 D)69.7 <div style=padding-top: 35px>

A)33
B)52.3
C)44
D)69.7
Question
Find the indicated expected frequency.
A sports researcher is interested in determining if there is a relationship between the number of home team and visiting team wins and different sports. A random sample of 526 games is selected and the results are given
Below. Find the expected frequency for <strong>Find the indicated expected frequency. A sports researcher is interested in determining if there is a relationship between the number of home team and visiting team wins and different sports. A random sample of 526 games is selected and the results are given Below. Find the expected frequency for   tto test the claim that the number of home team and visiting team Wins are independent of the sport. Round to the nearest tenth if necessary.  </strong> A)106.8 B)19.9 C)145.2 D)27.1 <div style=padding-top: 35px> tto test the claim that the number of home team and visiting team
Wins are independent of the sport. Round to the nearest tenth if necessary. <strong>Find the indicated expected frequency. A sports researcher is interested in determining if there is a relationship between the number of home team and visiting team wins and different sports. A random sample of 526 games is selected and the results are given Below. Find the expected frequency for   tto test the claim that the number of home team and visiting team Wins are independent of the sport. Round to the nearest tenth if necessary.  </strong> A)106.8 B)19.9 C)145.2 D)27.1 <div style=padding-top: 35px>

A)106.8
B)19.9
C)145.2
D)27.1
Question
A medical researcher is interested in determining if there is a relationship between adults over 50 who walk regularly and low, moderate, and high blood pressure. A random sample of 236 adults over 50 is selected and
The results are given below. Find the critical value χ <strong>A medical researcher is interested in determining if there is a relationship between adults over 50 who walk regularly and low, moderate, and high blood pressure. A random sample of 236 adults over 50 is selected and The results are given below. Find the critical value χ   to test the claim that walking and low, moderate, and High blood pressure are not related. Use   = 0.01.  </strong> A)9.210 B)9.348 C)6.251 D)0.584 <div style=padding-top: 35px> to test the claim that walking and low, moderate, and
High blood pressure are not related. Use <strong>A medical researcher is interested in determining if there is a relationship between adults over 50 who walk regularly and low, moderate, and high blood pressure. A random sample of 236 adults over 50 is selected and The results are given below. Find the critical value χ   to test the claim that walking and low, moderate, and High blood pressure are not related. Use   = 0.01.  </strong> A)9.210 B)9.348 C)6.251 D)0.584 <div style=padding-top: 35px> = 0.01. <strong>A medical researcher is interested in determining if there is a relationship between adults over 50 who walk regularly and low, moderate, and high blood pressure. A random sample of 236 adults over 50 is selected and The results are given below. Find the critical value χ   to test the claim that walking and low, moderate, and High blood pressure are not related. Use   = 0.01.  </strong> A)9.210 B)9.348 C)6.251 D)0.584 <div style=padding-top: 35px>

A)9.210
B)9.348
C)6.251
D)0.584
Question
A researcher wants to determine whether the number of minutes adults spend online per day is related to gender. A random sample of 315 adults was selected and the results are shown below. Find the critical value <strong>A researcher wants to determine whether the number of minutes adults spend online per day is related to gender. A random sample of 315 adults was selected and the results are shown below. Find the critical value   to determine if there is enough evidence to conclude that the number of minutes spent online per day is Related to gender. Use   = 0.05.  </strong> A)7.815 B)9.348 C)11.345 D)6.251 <div style=padding-top: 35px> to determine if there is enough evidence to conclude that the number of minutes spent online per day is
Related to gender. Use <strong>A researcher wants to determine whether the number of minutes adults spend online per day is related to gender. A random sample of 315 adults was selected and the results are shown below. Find the critical value   to determine if there is enough evidence to conclude that the number of minutes spent online per day is Related to gender. Use   = 0.05.  </strong> A)7.815 B)9.348 C)11.345 D)6.251 <div style=padding-top: 35px> = 0.05. <strong>A researcher wants to determine whether the number of minutes adults spend online per day is related to gender. A random sample of 315 adults was selected and the results are shown below. Find the critical value   to determine if there is enough evidence to conclude that the number of minutes spent online per day is Related to gender. Use   = 0.05.  </strong> A)7.815 B)9.348 C)11.345 D)6.251 <div style=padding-top: 35px>

A)7.815
B)9.348
C)11.345
D)6.251
Question
The contingency table below shows the results of a random sample of 200 state representatives that was conducted to see whether their opinions on a bill are related to their party affiliation. <strong>The contingency table below shows the results of a random sample of 200 state representatives that was conducted to see whether their opinions on a bill are related to their party affiliation.   Find the critical value χ   , to test the claim of independence using α = 0.05.</strong> A)9.488 B)7.779 C)11.143 D)13.277 <div style=padding-top: 35px> Find the critical value χ <strong>The contingency table below shows the results of a random sample of 200 state representatives that was conducted to see whether their opinions on a bill are related to their party affiliation.   Find the critical value χ   , to test the claim of independence using α = 0.05.</strong> A)9.488 B)7.779 C)11.143 D)13.277 <div style=padding-top: 35px> , to test the claim of independence using α = 0.05.

A)9.488
B)7.779
C)11.143
D)13.277
Question
Find the marginal frequencies for the given contingency table
The following contingency table was based on a random sample of drivers and classifies drivers by age group and number of accidents in the past three years. <strong>Find the marginal frequencies for the given contingency table The following contingency table was based on a random sample of drivers and classifies drivers by age group and number of accidents in the past three years.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>

A) <strong>Find the marginal frequencies for the given contingency table The following contingency table was based on a random sample of drivers and classifies drivers by age group and number of accidents in the past three years.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Find the marginal frequencies for the given contingency table The following contingency table was based on a random sample of drivers and classifies drivers by age group and number of accidents in the past three years.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Find the marginal frequencies for the given contingency table The following contingency table was based on a random sample of drivers and classifies drivers by age group and number of accidents in the past three years.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Find the marginal frequencies for the given contingency table The following contingency table was based on a random sample of drivers and classifies drivers by age group and number of accidents in the past three years.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Find the marginal frequencies for the given contingency table
<strong>Find the marginal frequencies for the given contingency table  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>

A) <strong>Find the marginal frequencies for the given contingency table  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Find the marginal frequencies for the given contingency table  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Find the marginal frequencies for the given contingency table  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Find the marginal frequencies for the given contingency table  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Find the indicated expected frequency.
The contingency table below shows the results of a random sample of 400 state representatives that was conducted to see whether their opinions on a bill are related to their party affiliation. <strong>Find the indicated expected frequency. The contingency table below shows the results of a random sample of 400 state representatives that was conducted to see whether their opinions on a bill are related to their party affiliation.   Find the expected frequency for the cell   Round to the nearest tenth if necessary.</strong> A)55.2 B)45.6 C)93.84 D)34.96 <div style=padding-top: 35px> Find the expected frequency for the cell <strong>Find the indicated expected frequency. The contingency table below shows the results of a random sample of 400 state representatives that was conducted to see whether their opinions on a bill are related to their party affiliation.   Find the expected frequency for the cell   Round to the nearest tenth if necessary.</strong> A)55.2 B)45.6 C)93.84 D)34.96 <div style=padding-top: 35px> Round to the nearest tenth if necessary.

A)55.2
B)45.6
C)93.84
D)34.96
Question
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null
hypothesis and interpret the decision in the context of the original claim.
A researcher wants to determine whether the time spent online per day is related to gender. A random sample
of 315 adults was selected and the results are shown below. Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. A researcher wants to determine whether the time spent online per day is related to gender. A random sample of 315 adults was selected and the results are shown below.   Test the hypothesis that the time spent online per day is related to gender. Use  <div style=padding-top: 35px> Test the hypothesis that the time spent online per day is related to gender. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. A researcher wants to determine whether the time spent online per day is related to gender. A random sample of 315 adults was selected and the results are shown below.   Test the hypothesis that the time spent online per day is related to gender. Use  <div style=padding-top: 35px>
Question
Find the marginal frequencies for the given contingency table
The table below describes the smoking habits of a group of asthma sufferers. <strong>Find the marginal frequencies for the given contingency table The table below describes the smoking habits of a group of asthma sufferers.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>

A) <strong>Find the marginal frequencies for the given contingency table The table below describes the smoking habits of a group of asthma sufferers.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Find the marginal frequencies for the given contingency table The table below describes the smoking habits of a group of asthma sufferers.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Find the marginal frequencies for the given contingency table The table below describes the smoking habits of a group of asthma sufferers.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Find the marginal frequencies for the given contingency table The table below describes the smoking habits of a group of asthma sufferers.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Find the indicated expected frequency.
A medical researcher is interested in determining if there is a relationship between adults over 50 who walk regularly and low, moderate, and high blood pressure. A random sample of 236 adults over 50 is selected and
The results are given below. Find the expected frequency <strong>Find the indicated expected frequency. A medical researcher is interested in determining if there is a relationship between adults over 50 who walk regularly and low, moderate, and high blood pressure. A random sample of 236 adults over 50 is selected and The results are given below. Find the expected frequency   to test the claim that walking and low, moderate, And high blood pressure are not related. Round to the nearest tenth if necessary.  </strong> A)61.3 B)29.9 C)65.7 D)22.7 <div style=padding-top: 35px> to test the claim that walking and low, moderate,
And high blood pressure are not related. Round to the nearest tenth if necessary. <strong>Find the indicated expected frequency. A medical researcher is interested in determining if there is a relationship between adults over 50 who walk regularly and low, moderate, and high blood pressure. A random sample of 236 adults over 50 is selected and The results are given below. Find the expected frequency   to test the claim that walking and low, moderate, And high blood pressure are not related. Round to the nearest tenth if necessary.  </strong> A)61.3 B)29.9 C)65.7 D)22.7 <div style=padding-top: 35px>

A)61.3
B)29.9
C)65.7
D)22.7
Question
A medical researcher is interested in determining if there is a relationship between adults over 50 who walk regularly and low, moderate, and high blood pressure. A random sample of 236 adults over 50 is selected and
The results are given below. Calculate the chi-square test statistic χ <strong>A medical researcher is interested in determining if there is a relationship between adults over 50 who walk regularly and low, moderate, and high blood pressure. A random sample of 236 adults over 50 is selected and The results are given below. Calculate the chi-square test statistic χ   to test the claim that walking and low, Moderate, and high blood pressure are not related.  </strong> A)3.473 B)16.183 C)18.112 D)6.003 <div style=padding-top: 35px> to test the claim that walking and low,
Moderate, and high blood pressure are not related. <strong>A medical researcher is interested in determining if there is a relationship between adults over 50 who walk regularly and low, moderate, and high blood pressure. A random sample of 236 adults over 50 is selected and The results are given below. Calculate the chi-square test statistic χ   to test the claim that walking and low, Moderate, and high blood pressure are not related.  </strong> A)3.473 B)16.183 C)18.112 D)6.003 <div style=padding-top: 35px>

A)3.473
B)16.183
C)18.112
D)6.003
Question
Perform a homogeneity of proportions test to test whether the population proportions are equal. The hypotheses to be
tested are:
H0: The proportions are equal
Ha: At least one of the proportions is different from the others.
Random samples of 400 men and 400 women were obtained and participants were asked whether they
planned to vote in the next election. The results are listed below. Perform a homogeneity of proportions test to
test the claim that the proportion of men who plan to vote in the next election is the same as the proportion of
women who plan to vote. Use Perform a homogeneity of proportions test to test whether the population proportions are equal. The hypotheses to be tested are: H<sub>0</sub>: The proportions are equal H<sub>a</sub>: At least one of the proportions is different from the others. Random samples of 400 men and 400 women were obtained and participants were asked whether they planned to vote in the next election. The results are listed below. Perform a homogeneity of proportions test to test the claim that the proportion of men who plan to vote in the next election is the same as the proportion of women who plan to vote. Use   = 0.05.  <div style=padding-top: 35px> = 0.05. Perform a homogeneity of proportions test to test whether the population proportions are equal. The hypotheses to be tested are: H<sub>0</sub>: The proportions are equal H<sub>a</sub>: At least one of the proportions is different from the others. Random samples of 400 men and 400 women were obtained and participants were asked whether they planned to vote in the next election. The results are listed below. Perform a homogeneity of proportions test to test the claim that the proportion of men who plan to vote in the next election is the same as the proportion of women who plan to vote. Use   = 0.05.  <div style=padding-top: 35px>
Question
Calculate the test statistic F to test the claim that <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)1.254 B)0.797 C)1.120 D)1.573 <div style=padding-top: 35px> Two samples are randomly selected from populations that are normal. The sample statistics are given below. <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)1.254 B)0.797 C)1.120 D)1.573 <div style=padding-top: 35px>

A)1.254
B)0.797
C)1.120
D)1.573
Question
Calculate the test statistic F to test the claim that <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)1.604 B)1.267 C)0.623 D)2.573 <div style=padding-top: 35px> Two samples are randomly selected from populations that are normal. The sample statistics are given below. <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)1.604 B)1.267 C)0.623 D)2.573 <div style=padding-top: 35px>

A)1.604
B)1.267
C)0.623
D)2.573
Question
Find the critical value <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use α    </strong> A)2.46 B)3.66 C)2.95 D)2.40 <div style=padding-top: 35px> to test the claim that <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use α    </strong> A)2.46 B)3.66 C)2.95 D)2.40 <div style=padding-top: 35px> Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use α <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use α    </strong> A)2.46 B)3.66 C)2.95 D)2.40 <div style=padding-top: 35px> <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use α    </strong> A)2.46 B)3.66 C)2.95 D)2.40 <div style=padding-top: 35px>

A)2.46
B)3.66
C)2.95
D)2.40
Question
Find the critical value <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)4.40 B)2.79 C)4.25 D)3.43 <div style=padding-top: 35px> to test the claim that <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)4.40 B)2.79 C)4.25 D)3.43 <div style=padding-top: 35px> Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)4.40 B)2.79 C)4.25 D)3.43 <div style=padding-top: 35px> <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)4.40 B)2.79 C)4.25 D)3.43 <div style=padding-top: 35px>

A)4.40
B)2.79
C)4.25
D)3.43
Question
Calculate the test statistic F to test the claim that <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)1.073 B)0.932 C)1.036 D)1.151 <div style=padding-top: 35px> Two samples are randomly selected from populations that are normal. The sample statistics are given below. <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)1.073 B)0.932 C)1.036 D)1.151 <div style=padding-top: 35px>

A)1.073
B)0.932
C)1.036
D)1.151
Question
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
Test the claim that Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    <div style=padding-top: 35px> Two samples are randomly selected from populations that are normal. The
sample statistics are given below. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    <div style=padding-top: 35px> Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    <div style=padding-top: 35px>
Question
Find the critical value <strong>Find the critical value   for a one-tailed test using α   = 0.05, d.f.N = 6, and d.f.D = 16.</strong> A)2.74 B)3.94 C)2.66 D)2.19 <div style=padding-top: 35px> for a one-tailed test using α <strong>Find the critical value   for a one-tailed test using α   = 0.05, d.f.N = 6, and d.f.D = 16.</strong> A)2.74 B)3.94 C)2.66 D)2.19 <div style=padding-top: 35px> = 0.05, d.f.N = 6, and d.f.D = 16.

A)2.74
B)3.94
C)2.66
D)2.19
Question
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
Test the claim that Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    <div style=padding-top: 35px> Two samples are randomly selected from populations that are normal. The
sample statistics are given below. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    <div style=padding-top: 35px> Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    <div style=padding-top: 35px>
Question
Calculate the test statistic F to test the claim that <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)2.560 B)1.600 C)0.391 D)6.554 <div style=padding-top: 35px> Two samples are randomly selected from populations that are normal. The sample statistics are given below. <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)2.560 B)1.600 C)0.391 D)6.554 <div style=padding-top: 35px>

A)2.560
B)1.600
C)0.391
D)6.554
Question
Find the critical value <strong>Find the critical value   for a two-tailed test using α   = 0.05, d.f.N = 5, and d.f.D = 10.</strong> A)4.24 B)4.07 C)4.47 D)6.62 <div style=padding-top: 35px> for a two-tailed test using α <strong>Find the critical value   for a two-tailed test using α   = 0.05, d.f.N = 5, and d.f.D = 10.</strong> A)4.24 B)4.07 C)4.47 D)6.62 <div style=padding-top: 35px> = 0.05, d.f.N = 5, and d.f.D = 10.

A)4.24
B)4.07
C)4.47
D)6.62
Question
Perform a homogeneity of proportions test to test whether the population proportions are equal. The hypotheses to be
tested are:
H0: The proportions are equal
Ha: At least one of the proportions is different from the others.
A random sample of 100 students from 5 different colleges was randomly selected, and the number who smoke
was recorded. The results are listed below. Perform a homogeneity of proportions test to test the claim that the
proportion of students who smoke is the same in all 5 colleges. Use Perform a homogeneity of proportions test to test whether the population proportions are equal. The hypotheses to be tested are: H<sub>0</sub>: The proportions are equal H<sub>a</sub>: At least one of the proportions is different from the others. A random sample of 100 students from 5 different colleges was randomly selected, and the number who smoke was recorded. The results are listed below. Perform a homogeneity of proportions test to test the claim that the proportion of students who smoke is the same in all 5 colleges. Use    <div style=padding-top: 35px> Perform a homogeneity of proportions test to test whether the population proportions are equal. The hypotheses to be tested are: H<sub>0</sub>: The proportions are equal H<sub>a</sub>: At least one of the proportions is different from the others. A random sample of 100 students from 5 different colleges was randomly selected, and the number who smoke was recorded. The results are listed below. Perform a homogeneity of proportions test to test the claim that the proportion of students who smoke is the same in all 5 colleges. Use    <div style=padding-top: 35px>
Question
Find the critical value <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)2.15 B)2.21 C)2.14 D)2.09 <div style=padding-top: 35px> to test the claim that <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)2.15 B)2.21 C)2.14 D)2.09 <div style=padding-top: 35px> Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)2.15 B)2.21 C)2.14 D)2.09 <div style=padding-top: 35px> <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)2.15 B)2.21 C)2.14 D)2.09 <div style=padding-top: 35px>

A)2.15
B)2.21
C)2.14
D)2.09
Question
Find the critical value <strong>Find the critical value   for a two-tailed test using α   = 0.02, d.f.N = 5, and d.f.D = 10.</strong> A)5.64 B)10.05 C)5.99 D)5.39 <div style=padding-top: 35px> for a two-tailed test using α <strong>Find the critical value   for a two-tailed test using α   = 0.02, d.f.N = 5, and d.f.D = 10.</strong> A)5.64 B)10.05 C)5.99 D)5.39 <div style=padding-top: 35px> = 0.02, d.f.N = 5, and d.f.D = 10.

A)5.64
B)10.05
C)5.99
D)5.39
Question
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
Test the claim that Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    <div style=padding-top: 35px> Two samples are randomly selected from populations that are normal. The
sample statistics are given below. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    <div style=padding-top: 35px> Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    <div style=padding-top: 35px>
Question
Calculate the test statistic F to test the claim that <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)1.254 B)0.797 C)1.573 D)1.120 <div style=padding-top: 35px> Two samples are randomly selected from populations that are normal. The sample statistics are given below. <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)1.254 B)0.797 C)1.573 D)1.120 <div style=padding-top: 35px>

A)1.254
B)0.797
C)1.573
D)1.120
Question
Find the critical value <strong>Find the critical value   for a one-tailed test using α   = 0.01, d.f.N = 3, and d.f.D = 20.</strong> A)4.94 B)25.58 C)5.82 D)3.09 <div style=padding-top: 35px> for a one-tailed test using α <strong>Find the critical value   for a one-tailed test using α   = 0.01, d.f.N = 3, and d.f.D = 20.</strong> A)4.94 B)25.58 C)5.82 D)3.09 <div style=padding-top: 35px> = 0.01, d.f.N = 3, and d.f.D = 20.

A)4.94
B)25.58
C)5.82
D)3.09
Question
Find the critical value <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)4.01 B)3.18 C)2.62 D)3.67 <div style=padding-top: 35px> to test the claim that <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)4.01 B)3.18 C)2.62 D)3.67 <div style=padding-top: 35px> Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)4.01 B)3.18 C)2.62 D)3.67 <div style=padding-top: 35px> <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)4.01 B)3.18 C)2.62 D)3.67 <div style=padding-top: 35px>

A)4.01
B)3.18
C)2.62
D)3.67
Question
Find the critical value <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)3.59 B)2.45 C)2.92 D)4.56 <div style=padding-top: 35px> to test the claim that <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)3.59 B)2.45 C)2.92 D)4.56 <div style=padding-top: 35px> Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)3.59 B)2.45 C)2.92 D)4.56 <div style=padding-top: 35px> <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)3.59 B)2.45 C)2.92 D)4.56 <div style=padding-top: 35px>

A)3.59
B)2.45
C)2.92
D)4.56
Question
Calculate the test statistic F to test the claim that <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)2.223 B)1.490 C)4.933 D)0.450 <div style=padding-top: 35px> Two samples are randomly selected from populations that are normal. The sample statistics are given below. <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)2.223 B)1.490 C)4.933 D)0.450 <div style=padding-top: 35px>

A)2.223
B)1.490
C)4.933
D)0.450
Question
The weights of a random sample of 25 women between the ages of 25 and 34 had a standard deviation of 28
pounds. The weights of a random sample of 41 women between the ages of 55 and 64 had a standard
deviation of 21 pounds. Construct a 95% confidence interval for The weights of a random sample of 25 women between the ages of 25 and 34 had a standard deviation of 28 pounds. The weights of a random sample of 41 women between the ages of 55 and 64 had a standard deviation of 21 pounds. Construct a 95% confidence interval for   are the variances of the weights of women between the ages 25 and 34 and the weights of women between the ages of 55 and 64 respectively.<div style=padding-top: 35px> are the variances of
the weights of women between the ages 25 and 34 and the weights of women between the ages of 55 and 64
respectively.
Question
Find the left-tailed and right-tailed critical F-values for a two-tailed test. Let α Find the left-tailed and right-tailed critical F-values for a two-tailed test. Let α   = 0.02, d.f.N = 7, and d.f.D = 5.<div style=padding-top: 35px> = 0.02, d.f.N = 7, and
d.f.D = 5.
Question
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
Test the claim that Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    <div style=padding-top: 35px> Two samples are randomly selected from populations that are normal. The
sample statistics are given below. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    <div style=padding-top: 35px> Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    <div style=padding-top: 35px>
Question
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
The weights of a random sample of 121 women between the ages of 25 and 34 had a standard deviation of 28
pounds. The weights of 121 women between the ages of 55 and 64 had a standard deviation 21 pounds. Test
the claim that the older women are from a population with a standard deviation less than that for women in
the 25 to 34 age group. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. The weights of a random sample of 121 women between the ages of 25 and 34 had a standard deviation of 28 pounds. The weights of 121 women between the ages of 55 and 64 had a standard deviation 21 pounds. Test the claim that the older women are from a population with a standard deviation less than that for women in the 25 to 34 age group. Use  <div style=padding-top: 35px>
Question
Four different types of fertilizers are used on raspberry plants. The number of raspberries on each randomly selected plant is given below. Find the critical value F0 to test the claim that the type of fertilizer makes no
Difference in the mean number of raspberries per plant. Use <strong>Four different types of fertilizers are used on raspberry plants. The number of raspberries on each randomly selected plant is given below. Find the critical value F0 to test the claim that the type of fertilizer makes no Difference in the mean number of raspberries per plant. Use    </strong> A)4.94 B)4.43 C)26.69 D)4.22 <div style=padding-top: 35px> <strong>Four different types of fertilizers are used on raspberry plants. The number of raspberries on each randomly selected plant is given below. Find the critical value F0 to test the claim that the type of fertilizer makes no Difference in the mean number of raspberries per plant. Use    </strong> A)4.94 B)4.43 C)26.69 D)4.22 <div style=padding-top: 35px>

A)4.94
B)4.43
C)26.69
D)4.22
Question
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
A statistics teacher wants to see whether there is a significant difference between the variance of the ages of day
students and the variance of the ages of night students. A random sample of 31 students is selected from each
group. The data are given below. Test the claim that there is no difference between the variances of the two
groups.
Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A statistics teacher wants to see whether there is a significant difference between the variance of the ages of day students and the variance of the ages of night students. A random sample of 31 students is selected from each group. The data are given below. Test the claim that there is no difference between the variances of the two groups. Use      <div style=padding-top: 35px> Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A statistics teacher wants to see whether there is a significant difference between the variance of the ages of day students and the variance of the ages of night students. A random sample of 31 students is selected from each group. The data are given below. Test the claim that there is no difference between the variances of the two groups. Use      <div style=padding-top: 35px> Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A statistics teacher wants to see whether there is a significant difference between the variance of the ages of day students and the variance of the ages of night students. A random sample of 31 students is selected from each group. The data are given below. Test the claim that there is no difference between the variances of the two groups. Use      <div style=padding-top: 35px>
Question
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
At a college, 61 female students were randomly selected and it was found that their monthly income had a
standard deviation of $218.70. For 121 male students, the standard deviation was $303.66. Test the claim that
variance of monthly incomes is higher for male students than it is for female students. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. At a college, 61 female students were randomly selected and it was found that their monthly income had a standard deviation of $218.70. For 121 male students, the standard deviation was $303.66. Test the claim that variance of monthly incomes is higher for male students than it is for female students. Use  <div style=padding-top: 35px>
Question
A medical researcher wishes to try three different techniques to lower blood pressure of patients with high blood pressure. The subjects are randomly selected and assigned to one of three groups. Group 1 is given
Medication, Group 2 is given an exercise program, and Group 3 is assigned a diet program. At the end of six
Weeks, each subjectʹs blood pressure is recorded. Find the critical value <strong>A medical researcher wishes to try three different techniques to lower blood pressure of patients with high blood pressure. The subjects are randomly selected and assigned to one of three groups. Group 1 is given Medication, Group 2 is given an exercise program, and Group 3 is assigned a diet program. At the end of six Weeks, each subjectʹs blood pressure is recorded. Find the critical value   to test the claim that there is no Difference among the means. Use   = 0.05.  </strong> A)3.68 B)19.43 C)4.77 D)39.43 <div style=padding-top: 35px> to test the claim that there is no
Difference among the means. Use <strong>A medical researcher wishes to try three different techniques to lower blood pressure of patients with high blood pressure. The subjects are randomly selected and assigned to one of three groups. Group 1 is given Medication, Group 2 is given an exercise program, and Group 3 is assigned a diet program. At the end of six Weeks, each subjectʹs blood pressure is recorded. Find the critical value   to test the claim that there is no Difference among the means. Use   = 0.05.  </strong> A)3.68 B)19.43 C)4.77 D)39.43 <div style=padding-top: 35px> = 0.05. <strong>A medical researcher wishes to try three different techniques to lower blood pressure of patients with high blood pressure. The subjects are randomly selected and assigned to one of three groups. Group 1 is given Medication, Group 2 is given an exercise program, and Group 3 is assigned a diet program. At the end of six Weeks, each subjectʹs blood pressure is recorded. Find the critical value   to test the claim that there is no Difference among the means. Use   = 0.05.  </strong> A)3.68 B)19.43 C)4.77 D)39.43 <div style=padding-top: 35px>

A)3.68
B)19.43
C)4.77
D)39.43
Question
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
A statistics teacher believes that the variance of test scores of students in her evening statistics class is lower
than the variance of test scores of students in her day class. The results of an exam, given to the day and
evening students, are shown below. Can the teacher conclude that the scores of evening students have a lower
variance? Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A statistics teacher believes that the variance of test scores of students in her evening statistics class is lower than the variance of test scores of students in her day class. The results of an exam, given to the day and evening students, are shown below. Can the teacher conclude that the scores of evening students have a lower variance? Use    <div style=padding-top: 35px> Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A statistics teacher believes that the variance of test scores of students in her evening statistics class is lower than the variance of test scores of students in her day class. The results of an exam, given to the day and evening students, are shown below. Can the teacher conclude that the scores of evening students have a lower variance? Use    <div style=padding-top: 35px>
Question
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
Test the claim that Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    <div style=padding-top: 35px> Two samples are randomly selected from populations that are normal. The
sample statistics are given below. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    <div style=padding-top: 35px> Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    <div style=padding-top: 35px>
Question
Find the test statistic F to test the claim that the populations have the same mean. <strong>Find the test statistic F to test the claim that the populations have the same mean.  </strong> A)1.403 B)1.021 C)1.182 D)0.832 <div style=padding-top: 35px>

A)1.403
B)1.021
C)1.182
D)0.832
Question
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
A random sample of 21 women had blood pressure levels with a variance of 553.6. A random sample of 18 men
had blood pressure levels with a variance of 368.64. Test the claim that the blood pressure levels for women
have a larger variance than those for men. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A random sample of 21 women had blood pressure levels with a variance of 553.6. A random sample of 18 men had blood pressure levels with a variance of 368.64. Test the claim that the blood pressure levels for women have a larger variance than those for men. Use  <div style=padding-top: 35px>
Question
Find the left-tailed and right-tailed critical F-values for a two-tailed test. Use the sample statistics below. Let Find the left-tailed and right-tailed critical F-values for a two-tailed test. Use the sample statistics below. Let   α = 0.05.  <div style=padding-top: 35px> α = 0.05. Find the left-tailed and right-tailed critical F-values for a two-tailed test. Use the sample statistics below. Let   α = 0.05.  <div style=padding-top: 35px>
Question
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
A local bank has the reputation of having a variance in waiting times as low as that of any bank in the area. A
competitor bank in the area checks the waiting time at both banks and claims that its variance of waiting times
is lower than at the local bank. The sample statistics are listed below. Test the competitorʹs claim. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A local bank has the reputation of having a variance in waiting times as low as that of any bank in the area. A competitor bank in the area checks the waiting time at both banks and claims that its variance of waiting times is lower than at the local bank. The sample statistics are listed below. Test the competitorʹs claim. Use    <div style=padding-top: 35px> Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A local bank has the reputation of having a variance in waiting times as low as that of any bank in the area. A competitor bank in the area checks the waiting time at both banks and claims that its variance of waiting times is lower than at the local bank. The sample statistics are listed below. Test the competitorʹs claim. Use    <div style=padding-top: 35px>
Question
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
A medical researcher suspects that the variance of the pulse rate of smokers is higher than the variance of the
pulse rate of non-smokers. Use the sample statistics below to test the researcherʹs suspicion. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A medical researcher suspects that the variance of the pulse rate of smokers is higher than the variance of the pulse rate of non-smokers. Use the sample statistics below to test the researcherʹs suspicion. Use   α = 0.05.  <div style=padding-top: 35px> α = 0.05. Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A medical researcher suspects that the variance of the pulse rate of smokers is higher than the variance of the pulse rate of non-smokers. Use the sample statistics below to test the researcherʹs suspicion. Use   α = 0.05.  <div style=padding-top: 35px>
Question
Four different types of fertilizers are used on raspberry plants. The number of raspberries on each randomly selected plant is given below. Find the test statistic F to test the claim that the type of fertilizer makes no
Difference in the mean number of raspberries per plant.
<strong>Four different types of fertilizers are used on raspberry plants. The number of raspberries on each randomly selected plant is given below. Find the test statistic F to test the claim that the type of fertilizer makes no Difference in the mean number of raspberries per plant.  </strong> A)8.357 B)8.123 C)7.123 D)6.912 <div style=padding-top: 35px>

A)8.357
B)8.123
C)7.123
D)6.912
Question
A medical researcher wishes to try three different techniques to lower blood pressure of patients with high blood pressure. The subjects are randomly selected and assigned to one of three groups. Group 1 is given
Medication, Group 2 is given an exercise program, and Group 3 is assigned a diet program. At the end of six
Weeks, each subjectʹs blood pressure is recorded. Find the test statistic F to test the claim that there is no
Difference among the means. <strong>A medical researcher wishes to try three different techniques to lower blood pressure of patients with high blood pressure. The subjects are randomly selected and assigned to one of three groups. Group 1 is given Medication, Group 2 is given an exercise program, and Group 3 is assigned a diet program. At the end of six Weeks, each subjectʹs blood pressure is recorded. Find the test statistic F to test the claim that there is no Difference among the means.   949 804</strong> A)11.095 B)9.812 C)8.369 D)12.162 <div style=padding-top: 35px> 949
804

A)11.095
B)9.812
C)8.369
D)12.162
Question
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
A study was conducted to determine if the variances of elementary school teacher salaries from two
neighboring districts were equal. A sample of 25 teachers from each district was selected. The first district had
a standard deviation of Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A study was conducted to determine if the variances of elementary school teacher salaries from two neighboring districts were equal. A sample of 25 teachers from each district was selected. The first district had a standard deviation of   = $4830, and the second district had a standard deviation   = $4410. Test the claim that the variances of the salaries from both districts are equal. Use  <div style=padding-top: 35px> = $4830, and the second district had a standard deviation Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A study was conducted to determine if the variances of elementary school teacher salaries from two neighboring districts were equal. A sample of 25 teachers from each district was selected. The first district had a standard deviation of   = $4830, and the second district had a standard deviation   = $4410. Test the claim that the variances of the salaries from both districts are equal. Use  <div style=padding-top: 35px> = $4410. Test the claim
that the variances of the salaries from both districts are equal. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A study was conducted to determine if the variances of elementary school teacher salaries from two neighboring districts were equal. A sample of 25 teachers from each district was selected. The first district had a standard deviation of   = $4830, and the second district had a standard deviation   = $4410. Test the claim that the variances of the salaries from both districts are equal. Use  <div style=padding-top: 35px>
Question
Find the critical <strong>Find the critical   -value to test the claim that the populations have the same mean. Use    </strong> A)3.47 B)3.210 C)2.819 D)1.892 <div style=padding-top: 35px> -value to test the claim that the populations have the same mean. Use <strong>Find the critical   -value to test the claim that the populations have the same mean. Use    </strong> A)3.47 B)3.210 C)2.819 D)1.892 <div style=padding-top: 35px> <strong>Find the critical   -value to test the claim that the populations have the same mean. Use    </strong> A)3.47 B)3.210 C)2.819 D)1.892 <div style=padding-top: 35px>

A)3.47
B)3.210
C)2.819
D)1.892
Question
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
A local bank has the reputation of having a variance in waiting times as low as that of any bank in the area. A
competitor bank in the area checks the waiting time at both banks and claims that its variance of waiting times
is lower than at the local bank. The sample statistics are listed below. Test the competitorʹs claim. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A local bank has the reputation of having a variance in waiting times as low as that of any bank in the area. A competitor bank in the area checks the waiting time at both banks and claims that its variance of waiting times is lower than at the local bank. The sample statistics are listed below. Test the competitorʹs claim. Use    <div style=padding-top: 35px> Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A local bank has the reputation of having a variance in waiting times as low as that of any bank in the area. A competitor bank in the area checks the waiting time at both banks and claims that its variance of waiting times is lower than at the local bank. The sample statistics are listed below. Test the competitorʹs claim. Use    <div style=padding-top: 35px>
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Deck 10: Chi-Square Tests and the F-Distribution
1
A sociologist believes that the levels of educational attainment of homeless persons are not uniformly
distributed. To test this claim, you randomly survey 100 homeless persons and record the educational
attainment of each. The results are shown in the following table. Find the critical value χ A sociologist believes that the levels of educational attainment of homeless persons are not uniformly distributed. To test this claim, you randomly survey 100 homeless persons and record the educational attainment of each. The results are shown in the following table. Find the critical value χ   to test the sociologistʹs claim. Use   = 0.10.  to test the
sociologistʹs claim. Use A sociologist believes that the levels of educational attainment of homeless persons are not uniformly distributed. To test this claim, you randomly survey 100 homeless persons and record the educational attainment of each. The results are shown in the following table. Find the critical value χ   to test the sociologistʹs claim. Use   = 0.10.  = 0.10. A sociologist believes that the levels of educational attainment of homeless persons are not uniformly distributed. To test this claim, you randomly survey 100 homeless persons and record the educational attainment of each. The results are shown in the following table. Find the critical value χ   to test the sociologistʹs claim. Use   = 0.10.
4.605
2
Many track runners believe that they have a better chance of winning if they start in the inside lane that is closest to the field. For the data below, the lane closest to the field is Lane 1, the next lane is Lane 2, and so on
Until the outermost lane, Lane 6. The data lists the number of wins for track runners in the different starting
Positions. Calculate the chi-square test statistic χ <strong>Many track runners believe that they have a better chance of winning if they start in the inside lane that is closest to the field. For the data below, the lane closest to the field is Lane 1, the next lane is Lane 2, and so on Until the outermost lane, Lane 6. The data lists the number of wins for track runners in the different starting Positions. Calculate the chi-square test statistic χ   to test the claim that the number of wins is uniformly Distributed across the different starting positions. The results are based on 240 wins.  </strong> A)6.750 B)9.326 C)12.592 D)15.541 to test the claim that the number of wins is uniformly
Distributed across the different starting positions. The results are based on 240 wins. <strong>Many track runners believe that they have a better chance of winning if they start in the inside lane that is closest to the field. For the data below, the lane closest to the field is Lane 1, the next lane is Lane 2, and so on Until the outermost lane, Lane 6. The data lists the number of wins for track runners in the different starting Positions. Calculate the chi-square test statistic χ   to test the claim that the number of wins is uniformly Distributed across the different starting positions. The results are based on 240 wins.  </strong> A)6.750 B)9.326 C)12.592 D)15.541

A)6.750
B)9.326
C)12.592
D)15.541
6.750
3
The frequency distribution shows the ages for a sample of 100 employees. Find the expected frequencies for
each class to determine if the employee ages are normally distributed. The frequency distribution shows the ages for a sample of 100 employees. Find the expected frequencies for each class to determine if the employee ages are normally distributed.
11, 26, 32, 21, and 7, respectively.
4
A sociologist believes that the levels of educational attainment of homeless persons are not uniformly
distributed. To test this claim, you randomly survey 100 homeless persons and record the educational
attainment of each. The results are shown in the following table. At α A sociologist believes that the levels of educational attainment of homeless persons are not uniformly distributed. To test this claim, you randomly survey 100 homeless persons and record the educational attainment of each. The results are shown in the following table. At α   = 0.10, is there evidence to support the sociologistʹs claim that the distribution is not uniform?  = 0.10, is there evidence to support the
sociologistʹs claim that the distribution is not uniform? A sociologist believes that the levels of educational attainment of homeless persons are not uniformly distributed. To test this claim, you randomly survey 100 homeless persons and record the educational attainment of each. The results are shown in the following table. At α   = 0.10, is there evidence to support the sociologistʹs claim that the distribution is not uniform?
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5
The frequency distribution shows the ages for a sample of 100 employees. Are the ages of employees normally
distributed? Use The frequency distribution shows the ages for a sample of 100 employees. Are the ages of employees normally distributed? Use   = 0.05.  = 0.05. The frequency distribution shows the ages for a sample of 100 employees. Are the ages of employees normally distributed? Use   = 0.05.
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6
A coffeehouse wishes to see if customers have any preference among 5 different brands of coffee. A sample of 200 customers provided the data below. Calculate the chi-square test statistic χ <strong>A coffeehouse wishes to see if customers have any preference among 5 different brands of coffee. A sample of 200 customers provided the data below. Calculate the chi-square test statistic χ   to test the claim that the Distribution is uniform..  </strong> A)37.45 B)45.91 C)48.91 D)55.63 to test the claim that the
Distribution is uniform.. <strong>A coffeehouse wishes to see if customers have any preference among 5 different brands of coffee. A sample of 200 customers provided the data below. Calculate the chi-square test statistic χ   to test the claim that the Distribution is uniform..  </strong> A)37.45 B)45.91 C)48.91 D)55.63

A)37.45
B)45.91
C)48.91
D)55.63
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7
A sociologist believes that the levels of educational attainment of homeless persons are not uniformly
distributed. To test this claim, you randomly survey 100 homeless persons and record the educational
attainment of each. The results are shown in the following table. Calculate the chi-square test statistic χ A sociologist believes that the levels of educational attainment of homeless persons are not uniformly distributed. To test this claim, you randomly survey 100 homeless persons and record the educational attainment of each. The results are shown in the following table. Calculate the chi-square test statistic χ   to test the sociologistʹs claim.  to
test the sociologistʹs claim. A sociologist believes that the levels of educational attainment of homeless persons are not uniformly distributed. To test this claim, you randomly survey 100 homeless persons and record the educational attainment of each. The results are shown in the following table. Calculate the chi-square test statistic χ   to test the sociologistʹs claim.
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8
Each side of a standard six-sided die should appear approximately <strong>Each side of a standard six-sided die should appear approximately   of the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below. Find the critical value χ   to test the playerʹs claim. Use    </strong> A)9.236 B)1.610 C)12.833 D)11.071 of the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below.
Find the critical value χ <strong>Each side of a standard six-sided die should appear approximately   of the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below. Find the critical value χ   to test the playerʹs claim. Use    </strong> A)9.236 B)1.610 C)12.833 D)11.071 to test the playerʹs claim. Use <strong>Each side of a standard six-sided die should appear approximately   of the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below. Find the critical value χ   to test the playerʹs claim. Use    </strong> A)9.236 B)1.610 C)12.833 D)11.071 <strong>Each side of a standard six-sided die should appear approximately   of the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below. Find the critical value χ   to test the playerʹs claim. Use    </strong> A)9.236 B)1.610 C)12.833 D)11.071

A)9.236
B)1.610
C)12.833
D)11.071
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9
Each side of a standard six-sided die should appear approximately <strong>Each side of a standard six-sided die should appear approximately   oof the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below. Calculate the chi-square test statistic χ   to test the playerʹs claim.  </strong> A)3.067 B)2.143 C)5.013 D)4.312 oof the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below.
Calculate the chi-square test statistic χ <strong>Each side of a standard six-sided die should appear approximately   oof the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below. Calculate the chi-square test statistic χ   to test the playerʹs claim.  </strong> A)3.067 B)2.143 C)5.013 D)4.312 to test the playerʹs claim. <strong>Each side of a standard six-sided die should appear approximately   oof the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below. Calculate the chi-square test statistic χ   to test the playerʹs claim.  </strong> A)3.067 B)2.143 C)5.013 D)4.312

A)3.067
B)2.143
C)5.013
D)4.312
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10
Each side of a standard six-sided die should appear approximately Each side of a standard six-sided die should appear approximately   of the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below. Test the playerʹs claim.    of the time when the die is rolled. A
player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below.
Test the playerʹs claim. Each side of a standard six-sided die should appear approximately   of the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below. Test the playerʹs claim.    Each side of a standard six-sided die should appear approximately   of the time when the die is rolled. A player suspects that a certain die is loaded. The suspected die is rolled 90 times. The results are shown below. Test the playerʹs claim.
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11
Many track runners believe that they have a better chance of winning if they start in the inside lane that is
closest to the field. For the data below, the lane closest to the field is Lane 1, the next lane is Lane 2, and so on
until the outermost lane, Lane 6. The data lists the number of wins for track runners in the different starting
positions. Test the claim that the number of wins is uniformly distributed across the different starting
positions. The results are based on 240 wins. Many track runners believe that they have a better chance of winning if they start in the inside lane that is closest to the field. For the data below, the lane closest to the field is Lane 1, the next lane is Lane 2, and so on until the outermost lane, Lane 6. The data lists the number of wins for track runners in the different starting positions. Test the claim that the number of wins is uniformly distributed across the different starting positions. The results are based on 240 wins.
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12
A random sample of 160 car crashes are selected and categorized by age. The results are listed below. The age distribution of drivers for the given categories is 18% for the under 26 group, 39% for the 26-45 group, 31% for
The 45-65 group, and 12% for the group over 65. Calculate the chi-square test statistic χ <strong>A random sample of 160 car crashes are selected and categorized by age. The results are listed below. The age distribution of drivers for the given categories is 18% for the under 26 group, 39% for the 26-45 group, 31% for The 45-65 group, and 12% for the group over 65. Calculate the chi-square test statistic χ   to test the claim that All ages have crash rates proportional to their driving rates.  </strong> A)75.101 B)85.123 C)101.324 D)95.431 to test the claim that
All ages have crash rates proportional to their driving rates. <strong>A random sample of 160 car crashes are selected and categorized by age. The results are listed below. The age distribution of drivers for the given categories is 18% for the under 26 group, 39% for the 26-45 group, 31% for The 45-65 group, and 12% for the group over 65. Calculate the chi-square test statistic χ   to test the claim that All ages have crash rates proportional to their driving rates.  </strong> A)75.101 B)85.123 C)101.324 D)95.431

A)75.101
B)85.123
C)101.324
D)95.431
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13
A teacher figures that final grades in the statistics department are distributed as: A, 25%; B, 25%; C, 40%; D, 5%; F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Find the
Critical value χ <strong>A teacher figures that final grades in the statistics department are distributed as: A, 25%; B, 25%; C, 40%; D, 5%; F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Find the Critical value χ   to determine if the grade distribution for the department is different than expected. Use   .01.  </strong> A)13.277 B)11.143 C)9.488 D)7.779 to determine if the grade distribution for the department is different than expected. Use <strong>A teacher figures that final grades in the statistics department are distributed as: A, 25%; B, 25%; C, 40%; D, 5%; F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Find the Critical value χ   to determine if the grade distribution for the department is different than expected. Use   .01.  </strong> A)13.277 B)11.143 C)9.488 D)7.779 .01. <strong>A teacher figures that final grades in the statistics department are distributed as: A, 25%; B, 25%; C, 40%; D, 5%; F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Find the Critical value χ   to determine if the grade distribution for the department is different than expected. Use   .01.  </strong> A)13.277 B)11.143 C)9.488 D)7.779

A)13.277
B)11.143
C)9.488
D)7.779
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14
A teacher figures that final grades in the statistics department are distributed as: A, 25%; B, 25%; C, 40%; D, 5%;
F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Determine if
the grade distribution for the department is different than expected. Use A teacher figures that final grades in the statistics department are distributed as: A, 25%; B, 25%; C, 40%; D, 5%; F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Determine if the grade distribution for the department is different than expected. Use    A teacher figures that final grades in the statistics department are distributed as: A, 25%; B, 25%; C, 40%; D, 5%; F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Determine if the grade distribution for the department is different than expected. Use
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15
Many track runners believe that they have a better chance of winning if they start in the inside lane that is closest to the field. For the data below, the lane closest to the field is Lane 1, the next lane is Lane 2, and so on
Until the outermost lane, Lane 6. The data lists the number of wins for track runners in the different starting
Positions. Find the critical value χ <strong>Many track runners believe that they have a better chance of winning if they start in the inside lane that is closest to the field. For the data below, the lane closest to the field is Lane 1, the next lane is Lane 2, and so on Until the outermost lane, Lane 6. The data lists the number of wins for track runners in the different starting Positions. Find the critical value χ   to test the claim that the number of wins is uniformly distributed across The different starting positions. The results are based on 240 wins.  </strong> A)11.070 B)9.236 C)15.086 D)12.833 to test the claim that the number of wins is uniformly distributed across
The different starting positions. The results are based on 240 wins. <strong>Many track runners believe that they have a better chance of winning if they start in the inside lane that is closest to the field. For the data below, the lane closest to the field is Lane 1, the next lane is Lane 2, and so on Until the outermost lane, Lane 6. The data lists the number of wins for track runners in the different starting Positions. Find the critical value χ   to test the claim that the number of wins is uniformly distributed across The different starting positions. The results are based on 240 wins.  </strong> A)11.070 B)9.236 C)15.086 D)12.833

A)11.070
B)9.236
C)15.086
D)12.833
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16
A teacher figures that final grades in the statistics department are distributed as: A, 25%; B, 25%; C, 40%; D, 5%; F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Calculate
The chi-square test statistic χ <strong>A teacher figures that final grades in the statistics department are distributed as: A, 25%; B, 25%; C, 40%; D, 5%; F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Calculate The chi-square test statistic χ   to determine if the grade distribution for the department is different than Expected.  </strong> A)5.25 B)6.87 C)3.41 D)4.82 to determine if the grade distribution for the department is different than
Expected. <strong>A teacher figures that final grades in the statistics department are distributed as: A, 25%; B, 25%; C, 40%; D, 5%; F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Calculate The chi-square test statistic χ   to determine if the grade distribution for the department is different than Expected.  </strong> A)5.25 B)6.87 C)3.41 D)4.82

A)5.25
B)6.87
C)3.41
D)4.82
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17
A new coffeehouse wishes to see whether customers have any preference among 5 different brands of coffee. A
sample of 200 customers provided the data below. Test the claim that the distribution is uniform. Use A new coffeehouse wishes to see whether customers have any preference among 5 different brands of coffee. A sample of 200 customers provided the data below. Test the claim that the distribution is uniform. Use   = 0.01.  = 0.01. A new coffeehouse wishes to see whether customers have any preference among 5 different brands of coffee. A sample of 200 customers provided the data below. Test the claim that the distribution is uniform. Use   = 0.01.
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18
A coffeehouse wishes to see if customers have any preference among 5 different brands of coffee. A sample of 200 customers provided the data below. Find the critical value χ <strong>A coffeehouse wishes to see if customers have any preference among 5 different brands of coffee. A sample of 200 customers provided the data below. Find the critical value χ   to test the claim that the distribution is Uniform.    </strong> A)13.277 B)9.488 C)11.143 D)14.860 to test the claim that the distribution is
Uniform. <strong>A coffeehouse wishes to see if customers have any preference among 5 different brands of coffee. A sample of 200 customers provided the data below. Find the critical value χ   to test the claim that the distribution is Uniform.    </strong> A)13.277 B)9.488 C)11.143 D)14.860 <strong>A coffeehouse wishes to see if customers have any preference among 5 different brands of coffee. A sample of 200 customers provided the data below. Find the critical value χ   to test the claim that the distribution is Uniform.    </strong> A)13.277 B)9.488 C)11.143 D)14.860

A)13.277
B)9.488
C)11.143
D)14.860
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19
A random sample of 160 car crashes are selected and categorized by age. The results are listed below. The age
distribution of drivers for the given categories is 18% for the under 26 group, 39% for the 26-45 group, 31% for
the 46-65 group, and 12% for the group over 65. Test the claim that all ages have crash rates proportional to
their driving rates. Use A random sample of 160 car crashes are selected and categorized by age. The results are listed below. The age distribution of drivers for the given categories is 18% for the under 26 group, 39% for the 26-45 group, 31% for the 46-65 group, and 12% for the group over 65. Test the claim that all ages have crash rates proportional to their driving rates. Use   = 0.05.  = 0.05. A random sample of 160 car crashes are selected and categorized by age. The results are listed below. The age distribution of drivers for the given categories is 18% for the under 26 group, 39% for the 26-45 group, 31% for the 46-65 group, and 12% for the group over 65. Test the claim that all ages have crash rates proportional to their driving rates. Use   = 0.05.
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20
A random sample of 160 car crashes are selected and categorized by age. The results are listed below. The age distribution of drivers for the given categories is 18% for the under 26 group, 39% for the 26-45 group, 31% for
The 45-65 group, and 12% for the group over 65. Find the critical value χ <strong>A random sample of 160 car crashes are selected and categorized by age. The results are listed below. The age distribution of drivers for the given categories is 18% for the under 26 group, 39% for the 26-45 group, 31% for The 45-65 group, and 12% for the group over 65. Find the critical value χ   to test the claim that all ages have Crash rates proportional to their driving rates. Use    </strong> A)7.815 B)6.251 C)11.143 D)9.348 to test the claim that all ages have
Crash rates proportional to their driving rates. Use <strong>A random sample of 160 car crashes are selected and categorized by age. The results are listed below. The age distribution of drivers for the given categories is 18% for the under 26 group, 39% for the 26-45 group, 31% for The 45-65 group, and 12% for the group over 65. Find the critical value χ   to test the claim that all ages have Crash rates proportional to their driving rates. Use    </strong> A)7.815 B)6.251 C)11.143 D)9.348 <strong>A random sample of 160 car crashes are selected and categorized by age. The results are listed below. The age distribution of drivers for the given categories is 18% for the under 26 group, 39% for the 26-45 group, 31% for The 45-65 group, and 12% for the group over 65. Find the critical value χ   to test the claim that all ages have Crash rates proportional to their driving rates. Use    </strong> A)7.815 B)6.251 C)11.143 D)9.348

A)7.815
B)6.251
C)11.143
D)9.348
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21
The contingency table below shows the results of a random sample of 200 state representatives that was conducted to see whether their opinions on a bill are related to their party affiliation. <strong>The contingency table below shows the results of a random sample of 200 state representatives that was conducted to see whether their opinions on a bill are related to their party affiliation.   Find the chi-square test statistic, χ   to test the claim of independence.</strong> A)8.030 B)11.765 C)7.662 D)9.483 Find the chi-square test statistic, χ <strong>The contingency table below shows the results of a random sample of 200 state representatives that was conducted to see whether their opinions on a bill are related to their party affiliation.   Find the chi-square test statistic, χ   to test the claim of independence.</strong> A)8.030 B)11.765 C)7.662 D)9.483 to test the claim of independence.

A)8.030
B)11.765
C)7.662
D)9.483
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22
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null
hypothesis and interpret the decision in the context of the original claim.
The data below shows the age and favorite type of music of 779 randomly selected people. Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. The data below shows the age and favorite type of music of 779 randomly selected people.   Test the claim that preferred music type is dependent on age. Use  Test the claim that preferred music type is dependent on age. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. The data below shows the age and favorite type of music of 779 randomly selected people.   Test the claim that preferred music type is dependent on age. Use
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23
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null
hypothesis and interpret the decision in the context of the original claim.
The contingency table below shows the party and opinions on a bill of a random sample of 200 state
representatives. Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. The contingency table below shows the party and opinions on a bill of a random sample of 200 state representatives.   Test the claim that opinions on the bill are dependent on party affiliation. Use α   = 0.05 . Test the claim that opinions on the bill are dependent on party affiliation. Use α Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. The contingency table below shows the party and opinions on a bill of a random sample of 200 state representatives.   Test the claim that opinions on the bill are dependent on party affiliation. Use α   = 0.05 . = 0.05 .
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24
A sports researcher is interested in determining if there is a relationship between the type of sport and type of team winning (home team versus visiting team). A random sample of 526 games is selected and the results are
Given below. Calculate the chi-square test statistic χ <strong>A sports researcher is interested in determining if there is a relationship between the type of sport and type of team winning (home team versus visiting team). A random sample of 526 games is selected and the results are Given below. Calculate the chi-square test statistic χ   to test the claim that the type of team winning is Independent of the sport.  </strong> A)3.290 B)2.919 C)5.391 D)4.192 to test the claim that the type of team winning is
Independent of the sport. <strong>A sports researcher is interested in determining if there is a relationship between the type of sport and type of team winning (home team versus visiting team). A random sample of 526 games is selected and the results are Given below. Calculate the chi-square test statistic χ   to test the claim that the type of team winning is Independent of the sport.  </strong> A)3.290 B)2.919 C)5.391 D)4.192

A)3.290
B)2.919
C)5.391
D)4.192
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25
A researcher wants to determine whether the number of minutes adults spend online per day is related to gender. A random sample of 315 adults was selected and the results are shown below. Calculate the chi -square
Test statistic χ <strong>A researcher wants to determine whether the number of minutes adults spend online per day is related to gender. A random sample of 315 adults was selected and the results are shown below. Calculate the chi -square Test statistic χ   to determine if there is enough evidence to conclude that the number of minutes spent online Per day is related to gender.  </strong> A)18.146 B)19.874 C)20.912 D)21.231 to determine if there is enough evidence to conclude that the number of minutes spent online
Per day is related to gender. <strong>A researcher wants to determine whether the number of minutes adults spend online per day is related to gender. A random sample of 315 adults was selected and the results are shown below. Calculate the chi -square Test statistic χ   to determine if there is enough evidence to conclude that the number of minutes spent online Per day is related to gender.  </strong> A)18.146 B)19.874 C)20.912 D)21.231

A)18.146
B)19.874
C)20.912
D)21.231
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26
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null
hypothesis and interpret the decision in the context of the original claim.
A sports researcher is interested in determining if there is a relationship between the type of sport and type of
team winning (home team versus visiting team). A random sample of 526 games is selected and the results are
given below. Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. A sports researcher is interested in determining if there is a relationship between the type of sport and type of team winning (home team versus visiting team). A random sample of 526 games is selected and the results are given below.   Test the claim that the type of team winning is independent of the type of sport. Use  Test the claim that the type of team winning is independent of the type of sport. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. A sports researcher is interested in determining if there is a relationship between the type of sport and type of team winning (home team versus visiting team). A random sample of 526 games is selected and the results are given below.   Test the claim that the type of team winning is independent of the type of sport. Use
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27
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null
hypothesis and interpret the decision in the context of the original claim.
A researcher is interested in determining if there is a relationship between exercise and blood pressure for
adults over 50. A random sample of 236 adults over 50 is selected and the results are given below. Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. A researcher is interested in determining if there is a relationship between exercise and blood pressure for adults over 50. A random sample of 236 adults over 50 is selected and the results are given below.   Test the claim that walking and blood pressure are independent. Use  Test the claim that walking and blood pressure are independent. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. A researcher is interested in determining if there is a relationship between exercise and blood pressure for adults over 50. A random sample of 236 adults over 50 is selected and the results are given below.   Test the claim that walking and blood pressure are independent. Use
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28
A sports researcher is interested in determining if there is a relationship between the number of home team and visiting team wins and different sports. A random sample of 526 games is selected and the results are given
Below. Find the critical value χ <strong>A sports researcher is interested in determining if there is a relationship between the number of home team and visiting team wins and different sports. A random sample of 526 games is selected and the results are given Below. Find the critical value χ   to test the claim that the number of home team and visiting team wins is Independent of the sport. Use   = 0.01.  </strong> A)11.345 B)12.838 C)7.815 D)9.348 to test the claim that the number of home team and visiting team wins is
Independent of the sport. Use <strong>A sports researcher is interested in determining if there is a relationship between the number of home team and visiting team wins and different sports. A random sample of 526 games is selected and the results are given Below. Find the critical value χ   to test the claim that the number of home team and visiting team wins is Independent of the sport. Use   = 0.01.  </strong> A)11.345 B)12.838 C)7.815 D)9.348 = 0.01. <strong>A sports researcher is interested in determining if there is a relationship between the number of home team and visiting team wins and different sports. A random sample of 526 games is selected and the results are given Below. Find the critical value χ   to test the claim that the number of home team and visiting team wins is Independent of the sport. Use   = 0.01.  </strong> A)11.345 B)12.838 C)7.815 D)9.348

A)11.345
B)12.838
C)7.815
D)9.348
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29
Find the indicated expected frequency.
A researcher wants to determine whether the number of minutes adults spend online per day is related to gender. A random sample of 315 adults was selected and the results are shown below. Find the expected
Frequency for the cell <strong>Find the indicated expected frequency. A researcher wants to determine whether the number of minutes adults spend online per day is related to gender. A random sample of 315 adults was selected and the results are shown below. Find the expected Frequency for the cell   to determine if there is enough evidence to conclude that the number of minutes Spent online per day is related to gender. Round to the nearest tenth if necessary.  </strong> A)33 B)52.3 C)44 D)69.7 to determine if there is enough evidence to conclude that the number of minutes
Spent online per day is related to gender. Round to the nearest tenth if necessary. <strong>Find the indicated expected frequency. A researcher wants to determine whether the number of minutes adults spend online per day is related to gender. A random sample of 315 adults was selected and the results are shown below. Find the expected Frequency for the cell   to determine if there is enough evidence to conclude that the number of minutes Spent online per day is related to gender. Round to the nearest tenth if necessary.  </strong> A)33 B)52.3 C)44 D)69.7

A)33
B)52.3
C)44
D)69.7
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30
Find the indicated expected frequency.
A sports researcher is interested in determining if there is a relationship between the number of home team and visiting team wins and different sports. A random sample of 526 games is selected and the results are given
Below. Find the expected frequency for <strong>Find the indicated expected frequency. A sports researcher is interested in determining if there is a relationship between the number of home team and visiting team wins and different sports. A random sample of 526 games is selected and the results are given Below. Find the expected frequency for   tto test the claim that the number of home team and visiting team Wins are independent of the sport. Round to the nearest tenth if necessary.  </strong> A)106.8 B)19.9 C)145.2 D)27.1 tto test the claim that the number of home team and visiting team
Wins are independent of the sport. Round to the nearest tenth if necessary. <strong>Find the indicated expected frequency. A sports researcher is interested in determining if there is a relationship between the number of home team and visiting team wins and different sports. A random sample of 526 games is selected and the results are given Below. Find the expected frequency for   tto test the claim that the number of home team and visiting team Wins are independent of the sport. Round to the nearest tenth if necessary.  </strong> A)106.8 B)19.9 C)145.2 D)27.1

A)106.8
B)19.9
C)145.2
D)27.1
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31
A medical researcher is interested in determining if there is a relationship between adults over 50 who walk regularly and low, moderate, and high blood pressure. A random sample of 236 adults over 50 is selected and
The results are given below. Find the critical value χ <strong>A medical researcher is interested in determining if there is a relationship between adults over 50 who walk regularly and low, moderate, and high blood pressure. A random sample of 236 adults over 50 is selected and The results are given below. Find the critical value χ   to test the claim that walking and low, moderate, and High blood pressure are not related. Use   = 0.01.  </strong> A)9.210 B)9.348 C)6.251 D)0.584 to test the claim that walking and low, moderate, and
High blood pressure are not related. Use <strong>A medical researcher is interested in determining if there is a relationship between adults over 50 who walk regularly and low, moderate, and high blood pressure. A random sample of 236 adults over 50 is selected and The results are given below. Find the critical value χ   to test the claim that walking and low, moderate, and High blood pressure are not related. Use   = 0.01.  </strong> A)9.210 B)9.348 C)6.251 D)0.584 = 0.01. <strong>A medical researcher is interested in determining if there is a relationship between adults over 50 who walk regularly and low, moderate, and high blood pressure. A random sample of 236 adults over 50 is selected and The results are given below. Find the critical value χ   to test the claim that walking and low, moderate, and High blood pressure are not related. Use   = 0.01.  </strong> A)9.210 B)9.348 C)6.251 D)0.584

A)9.210
B)9.348
C)6.251
D)0.584
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32
A researcher wants to determine whether the number of minutes adults spend online per day is related to gender. A random sample of 315 adults was selected and the results are shown below. Find the critical value <strong>A researcher wants to determine whether the number of minutes adults spend online per day is related to gender. A random sample of 315 adults was selected and the results are shown below. Find the critical value   to determine if there is enough evidence to conclude that the number of minutes spent online per day is Related to gender. Use   = 0.05.  </strong> A)7.815 B)9.348 C)11.345 D)6.251 to determine if there is enough evidence to conclude that the number of minutes spent online per day is
Related to gender. Use <strong>A researcher wants to determine whether the number of minutes adults spend online per day is related to gender. A random sample of 315 adults was selected and the results are shown below. Find the critical value   to determine if there is enough evidence to conclude that the number of minutes spent online per day is Related to gender. Use   = 0.05.  </strong> A)7.815 B)9.348 C)11.345 D)6.251 = 0.05. <strong>A researcher wants to determine whether the number of minutes adults spend online per day is related to gender. A random sample of 315 adults was selected and the results are shown below. Find the critical value   to determine if there is enough evidence to conclude that the number of minutes spent online per day is Related to gender. Use   = 0.05.  </strong> A)7.815 B)9.348 C)11.345 D)6.251

A)7.815
B)9.348
C)11.345
D)6.251
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33
The contingency table below shows the results of a random sample of 200 state representatives that was conducted to see whether their opinions on a bill are related to their party affiliation. <strong>The contingency table below shows the results of a random sample of 200 state representatives that was conducted to see whether their opinions on a bill are related to their party affiliation.   Find the critical value χ   , to test the claim of independence using α = 0.05.</strong> A)9.488 B)7.779 C)11.143 D)13.277 Find the critical value χ <strong>The contingency table below shows the results of a random sample of 200 state representatives that was conducted to see whether their opinions on a bill are related to their party affiliation.   Find the critical value χ   , to test the claim of independence using α = 0.05.</strong> A)9.488 B)7.779 C)11.143 D)13.277 , to test the claim of independence using α = 0.05.

A)9.488
B)7.779
C)11.143
D)13.277
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34
Find the marginal frequencies for the given contingency table
The following contingency table was based on a random sample of drivers and classifies drivers by age group and number of accidents in the past three years. <strong>Find the marginal frequencies for the given contingency table The following contingency table was based on a random sample of drivers and classifies drivers by age group and number of accidents in the past three years.  </strong> A)   B)   C)   D)

A) <strong>Find the marginal frequencies for the given contingency table The following contingency table was based on a random sample of drivers and classifies drivers by age group and number of accidents in the past three years.  </strong> A)   B)   C)   D)
B) <strong>Find the marginal frequencies for the given contingency table The following contingency table was based on a random sample of drivers and classifies drivers by age group and number of accidents in the past three years.  </strong> A)   B)   C)   D)
C) <strong>Find the marginal frequencies for the given contingency table The following contingency table was based on a random sample of drivers and classifies drivers by age group and number of accidents in the past three years.  </strong> A)   B)   C)   D)
D) <strong>Find the marginal frequencies for the given contingency table The following contingency table was based on a random sample of drivers and classifies drivers by age group and number of accidents in the past three years.  </strong> A)   B)   C)   D)
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35
Find the marginal frequencies for the given contingency table
<strong>Find the marginal frequencies for the given contingency table  </strong> A)   B)   C)   D)

A) <strong>Find the marginal frequencies for the given contingency table  </strong> A)   B)   C)   D)
B) <strong>Find the marginal frequencies for the given contingency table  </strong> A)   B)   C)   D)
C) <strong>Find the marginal frequencies for the given contingency table  </strong> A)   B)   C)   D)
D) <strong>Find the marginal frequencies for the given contingency table  </strong> A)   B)   C)   D)
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36
Find the indicated expected frequency.
The contingency table below shows the results of a random sample of 400 state representatives that was conducted to see whether their opinions on a bill are related to their party affiliation. <strong>Find the indicated expected frequency. The contingency table below shows the results of a random sample of 400 state representatives that was conducted to see whether their opinions on a bill are related to their party affiliation.   Find the expected frequency for the cell   Round to the nearest tenth if necessary.</strong> A)55.2 B)45.6 C)93.84 D)34.96 Find the expected frequency for the cell <strong>Find the indicated expected frequency. The contingency table below shows the results of a random sample of 400 state representatives that was conducted to see whether their opinions on a bill are related to their party affiliation.   Find the expected frequency for the cell   Round to the nearest tenth if necessary.</strong> A)55.2 B)45.6 C)93.84 D)34.96 Round to the nearest tenth if necessary.

A)55.2
B)45.6
C)93.84
D)34.96
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37
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null
hypothesis and interpret the decision in the context of the original claim.
A researcher wants to determine whether the time spent online per day is related to gender. A random sample
of 315 adults was selected and the results are shown below. Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. A researcher wants to determine whether the time spent online per day is related to gender. A random sample of 315 adults was selected and the results are shown below.   Test the hypothesis that the time spent online per day is related to gender. Use  Test the hypothesis that the time spent online per day is related to gender. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. A researcher wants to determine whether the time spent online per day is related to gender. A random sample of 315 adults was selected and the results are shown below.   Test the hypothesis that the time spent online per day is related to gender. Use
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38
Find the marginal frequencies for the given contingency table
The table below describes the smoking habits of a group of asthma sufferers. <strong>Find the marginal frequencies for the given contingency table The table below describes the smoking habits of a group of asthma sufferers.  </strong> A)   B)   C)   D)

A) <strong>Find the marginal frequencies for the given contingency table The table below describes the smoking habits of a group of asthma sufferers.  </strong> A)   B)   C)   D)
B) <strong>Find the marginal frequencies for the given contingency table The table below describes the smoking habits of a group of asthma sufferers.  </strong> A)   B)   C)   D)
C) <strong>Find the marginal frequencies for the given contingency table The table below describes the smoking habits of a group of asthma sufferers.  </strong> A)   B)   C)   D)
D) <strong>Find the marginal frequencies for the given contingency table The table below describes the smoking habits of a group of asthma sufferers.  </strong> A)   B)   C)   D)
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39
Find the indicated expected frequency.
A medical researcher is interested in determining if there is a relationship between adults over 50 who walk regularly and low, moderate, and high blood pressure. A random sample of 236 adults over 50 is selected and
The results are given below. Find the expected frequency <strong>Find the indicated expected frequency. A medical researcher is interested in determining if there is a relationship between adults over 50 who walk regularly and low, moderate, and high blood pressure. A random sample of 236 adults over 50 is selected and The results are given below. Find the expected frequency   to test the claim that walking and low, moderate, And high blood pressure are not related. Round to the nearest tenth if necessary.  </strong> A)61.3 B)29.9 C)65.7 D)22.7 to test the claim that walking and low, moderate,
And high blood pressure are not related. Round to the nearest tenth if necessary. <strong>Find the indicated expected frequency. A medical researcher is interested in determining if there is a relationship between adults over 50 who walk regularly and low, moderate, and high blood pressure. A random sample of 236 adults over 50 is selected and The results are given below. Find the expected frequency   to test the claim that walking and low, moderate, And high blood pressure are not related. Round to the nearest tenth if necessary.  </strong> A)61.3 B)29.9 C)65.7 D)22.7

A)61.3
B)29.9
C)65.7
D)22.7
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40
A medical researcher is interested in determining if there is a relationship between adults over 50 who walk regularly and low, moderate, and high blood pressure. A random sample of 236 adults over 50 is selected and
The results are given below. Calculate the chi-square test statistic χ <strong>A medical researcher is interested in determining if there is a relationship between adults over 50 who walk regularly and low, moderate, and high blood pressure. A random sample of 236 adults over 50 is selected and The results are given below. Calculate the chi-square test statistic χ   to test the claim that walking and low, Moderate, and high blood pressure are not related.  </strong> A)3.473 B)16.183 C)18.112 D)6.003 to test the claim that walking and low,
Moderate, and high blood pressure are not related. <strong>A medical researcher is interested in determining if there is a relationship between adults over 50 who walk regularly and low, moderate, and high blood pressure. A random sample of 236 adults over 50 is selected and The results are given below. Calculate the chi-square test statistic χ   to test the claim that walking and low, Moderate, and high blood pressure are not related.  </strong> A)3.473 B)16.183 C)18.112 D)6.003

A)3.473
B)16.183
C)18.112
D)6.003
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41
Perform a homogeneity of proportions test to test whether the population proportions are equal. The hypotheses to be
tested are:
H0: The proportions are equal
Ha: At least one of the proportions is different from the others.
Random samples of 400 men and 400 women were obtained and participants were asked whether they
planned to vote in the next election. The results are listed below. Perform a homogeneity of proportions test to
test the claim that the proportion of men who plan to vote in the next election is the same as the proportion of
women who plan to vote. Use Perform a homogeneity of proportions test to test whether the population proportions are equal. The hypotheses to be tested are: H<sub>0</sub>: The proportions are equal H<sub>a</sub>: At least one of the proportions is different from the others. Random samples of 400 men and 400 women were obtained and participants were asked whether they planned to vote in the next election. The results are listed below. Perform a homogeneity of proportions test to test the claim that the proportion of men who plan to vote in the next election is the same as the proportion of women who plan to vote. Use   = 0.05.  = 0.05. Perform a homogeneity of proportions test to test whether the population proportions are equal. The hypotheses to be tested are: H<sub>0</sub>: The proportions are equal H<sub>a</sub>: At least one of the proportions is different from the others. Random samples of 400 men and 400 women were obtained and participants were asked whether they planned to vote in the next election. The results are listed below. Perform a homogeneity of proportions test to test the claim that the proportion of men who plan to vote in the next election is the same as the proportion of women who plan to vote. Use   = 0.05.
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42
Calculate the test statistic F to test the claim that <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)1.254 B)0.797 C)1.120 D)1.573 Two samples are randomly selected from populations that are normal. The sample statistics are given below. <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)1.254 B)0.797 C)1.120 D)1.573

A)1.254
B)0.797
C)1.120
D)1.573
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43
Calculate the test statistic F to test the claim that <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)1.604 B)1.267 C)0.623 D)2.573 Two samples are randomly selected from populations that are normal. The sample statistics are given below. <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)1.604 B)1.267 C)0.623 D)2.573

A)1.604
B)1.267
C)0.623
D)2.573
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44
Find the critical value <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use α    </strong> A)2.46 B)3.66 C)2.95 D)2.40 to test the claim that <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use α    </strong> A)2.46 B)3.66 C)2.95 D)2.40 Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use α <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use α    </strong> A)2.46 B)3.66 C)2.95 D)2.40 <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use α    </strong> A)2.46 B)3.66 C)2.95 D)2.40

A)2.46
B)3.66
C)2.95
D)2.40
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45
Find the critical value <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)4.40 B)2.79 C)4.25 D)3.43 to test the claim that <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)4.40 B)2.79 C)4.25 D)3.43 Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)4.40 B)2.79 C)4.25 D)3.43 <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)4.40 B)2.79 C)4.25 D)3.43

A)4.40
B)2.79
C)4.25
D)3.43
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46
Calculate the test statistic F to test the claim that <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)1.073 B)0.932 C)1.036 D)1.151 Two samples are randomly selected from populations that are normal. The sample statistics are given below. <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)1.073 B)0.932 C)1.036 D)1.151

A)1.073
B)0.932
C)1.036
D)1.151
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47
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
Test the claim that Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    Two samples are randomly selected from populations that are normal. The
sample statistics are given below. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use
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48
Find the critical value <strong>Find the critical value   for a one-tailed test using α   = 0.05, d.f.N = 6, and d.f.D = 16.</strong> A)2.74 B)3.94 C)2.66 D)2.19 for a one-tailed test using α <strong>Find the critical value   for a one-tailed test using α   = 0.05, d.f.N = 6, and d.f.D = 16.</strong> A)2.74 B)3.94 C)2.66 D)2.19 = 0.05, d.f.N = 6, and d.f.D = 16.

A)2.74
B)3.94
C)2.66
D)2.19
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49
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
Test the claim that Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    Two samples are randomly selected from populations that are normal. The
sample statistics are given below. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use
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50
Calculate the test statistic F to test the claim that <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)2.560 B)1.600 C)0.391 D)6.554 Two samples are randomly selected from populations that are normal. The sample statistics are given below. <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)2.560 B)1.600 C)0.391 D)6.554

A)2.560
B)1.600
C)0.391
D)6.554
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51
Find the critical value <strong>Find the critical value   for a two-tailed test using α   = 0.05, d.f.N = 5, and d.f.D = 10.</strong> A)4.24 B)4.07 C)4.47 D)6.62 for a two-tailed test using α <strong>Find the critical value   for a two-tailed test using α   = 0.05, d.f.N = 5, and d.f.D = 10.</strong> A)4.24 B)4.07 C)4.47 D)6.62 = 0.05, d.f.N = 5, and d.f.D = 10.

A)4.24
B)4.07
C)4.47
D)6.62
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52
Perform a homogeneity of proportions test to test whether the population proportions are equal. The hypotheses to be
tested are:
H0: The proportions are equal
Ha: At least one of the proportions is different from the others.
A random sample of 100 students from 5 different colleges was randomly selected, and the number who smoke
was recorded. The results are listed below. Perform a homogeneity of proportions test to test the claim that the
proportion of students who smoke is the same in all 5 colleges. Use Perform a homogeneity of proportions test to test whether the population proportions are equal. The hypotheses to be tested are: H<sub>0</sub>: The proportions are equal H<sub>a</sub>: At least one of the proportions is different from the others. A random sample of 100 students from 5 different colleges was randomly selected, and the number who smoke was recorded. The results are listed below. Perform a homogeneity of proportions test to test the claim that the proportion of students who smoke is the same in all 5 colleges. Use    Perform a homogeneity of proportions test to test whether the population proportions are equal. The hypotheses to be tested are: H<sub>0</sub>: The proportions are equal H<sub>a</sub>: At least one of the proportions is different from the others. A random sample of 100 students from 5 different colleges was randomly selected, and the number who smoke was recorded. The results are listed below. Perform a homogeneity of proportions test to test the claim that the proportion of students who smoke is the same in all 5 colleges. Use
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53
Find the critical value <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)2.15 B)2.21 C)2.14 D)2.09 to test the claim that <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)2.15 B)2.21 C)2.14 D)2.09 Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)2.15 B)2.21 C)2.14 D)2.09 <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)2.15 B)2.21 C)2.14 D)2.09

A)2.15
B)2.21
C)2.14
D)2.09
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54
Find the critical value <strong>Find the critical value   for a two-tailed test using α   = 0.02, d.f.N = 5, and d.f.D = 10.</strong> A)5.64 B)10.05 C)5.99 D)5.39 for a two-tailed test using α <strong>Find the critical value   for a two-tailed test using α   = 0.02, d.f.N = 5, and d.f.D = 10.</strong> A)5.64 B)10.05 C)5.99 D)5.39 = 0.02, d.f.N = 5, and d.f.D = 10.

A)5.64
B)10.05
C)5.99
D)5.39
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55
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
Test the claim that Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    Two samples are randomly selected from populations that are normal. The
sample statistics are given below. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use
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56
Calculate the test statistic F to test the claim that <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)1.254 B)0.797 C)1.573 D)1.120 Two samples are randomly selected from populations that are normal. The sample statistics are given below. <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)1.254 B)0.797 C)1.573 D)1.120

A)1.254
B)0.797
C)1.573
D)1.120
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57
Find the critical value <strong>Find the critical value   for a one-tailed test using α   = 0.01, d.f.N = 3, and d.f.D = 20.</strong> A)4.94 B)25.58 C)5.82 D)3.09 for a one-tailed test using α <strong>Find the critical value   for a one-tailed test using α   = 0.01, d.f.N = 3, and d.f.D = 20.</strong> A)4.94 B)25.58 C)5.82 D)3.09 = 0.01, d.f.N = 3, and d.f.D = 20.

A)4.94
B)25.58
C)5.82
D)3.09
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58
Find the critical value <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)4.01 B)3.18 C)2.62 D)3.67 to test the claim that <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)4.01 B)3.18 C)2.62 D)3.67 Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)4.01 B)3.18 C)2.62 D)3.67 <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)4.01 B)3.18 C)2.62 D)3.67

A)4.01
B)3.18
C)2.62
D)3.67
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59
Find the critical value <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)3.59 B)2.45 C)2.92 D)4.56 to test the claim that <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)3.59 B)2.45 C)2.92 D)4.56 Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)3.59 B)2.45 C)2.92 D)4.56 <strong>Find the critical value   to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    </strong> A)3.59 B)2.45 C)2.92 D)4.56

A)3.59
B)2.45
C)2.92
D)4.56
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60
Calculate the test statistic F to test the claim that <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)2.223 B)1.490 C)4.933 D)0.450 Two samples are randomly selected from populations that are normal. The sample statistics are given below. <strong>Calculate the test statistic F to test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below.  </strong> A)2.223 B)1.490 C)4.933 D)0.450

A)2.223
B)1.490
C)4.933
D)0.450
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61
The weights of a random sample of 25 women between the ages of 25 and 34 had a standard deviation of 28
pounds. The weights of a random sample of 41 women between the ages of 55 and 64 had a standard
deviation of 21 pounds. Construct a 95% confidence interval for The weights of a random sample of 25 women between the ages of 25 and 34 had a standard deviation of 28 pounds. The weights of a random sample of 41 women between the ages of 55 and 64 had a standard deviation of 21 pounds. Construct a 95% confidence interval for   are the variances of the weights of women between the ages 25 and 34 and the weights of women between the ages of 55 and 64 respectively. are the variances of
the weights of women between the ages 25 and 34 and the weights of women between the ages of 55 and 64
respectively.
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62
Find the left-tailed and right-tailed critical F-values for a two-tailed test. Let α Find the left-tailed and right-tailed critical F-values for a two-tailed test. Let α   = 0.02, d.f.N = 7, and d.f.D = 5. = 0.02, d.f.N = 7, and
d.f.D = 5.
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63
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
Test the claim that Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    Two samples are randomly selected from populations that are normal. The
sample statistics are given below. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use
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64
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
The weights of a random sample of 121 women between the ages of 25 and 34 had a standard deviation of 28
pounds. The weights of 121 women between the ages of 55 and 64 had a standard deviation 21 pounds. Test
the claim that the older women are from a population with a standard deviation less than that for women in
the 25 to 34 age group. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. The weights of a random sample of 121 women between the ages of 25 and 34 had a standard deviation of 28 pounds. The weights of 121 women between the ages of 55 and 64 had a standard deviation 21 pounds. Test the claim that the older women are from a population with a standard deviation less than that for women in the 25 to 34 age group. Use
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65
Four different types of fertilizers are used on raspberry plants. The number of raspberries on each randomly selected plant is given below. Find the critical value F0 to test the claim that the type of fertilizer makes no
Difference in the mean number of raspberries per plant. Use <strong>Four different types of fertilizers are used on raspberry plants. The number of raspberries on each randomly selected plant is given below. Find the critical value F0 to test the claim that the type of fertilizer makes no Difference in the mean number of raspberries per plant. Use    </strong> A)4.94 B)4.43 C)26.69 D)4.22 <strong>Four different types of fertilizers are used on raspberry plants. The number of raspberries on each randomly selected plant is given below. Find the critical value F0 to test the claim that the type of fertilizer makes no Difference in the mean number of raspberries per plant. Use    </strong> A)4.94 B)4.43 C)26.69 D)4.22

A)4.94
B)4.43
C)26.69
D)4.22
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66
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
A statistics teacher wants to see whether there is a significant difference between the variance of the ages of day
students and the variance of the ages of night students. A random sample of 31 students is selected from each
group. The data are given below. Test the claim that there is no difference between the variances of the two
groups.
Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A statistics teacher wants to see whether there is a significant difference between the variance of the ages of day students and the variance of the ages of night students. A random sample of 31 students is selected from each group. The data are given below. Test the claim that there is no difference between the variances of the two groups. Use      Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A statistics teacher wants to see whether there is a significant difference between the variance of the ages of day students and the variance of the ages of night students. A random sample of 31 students is selected from each group. The data are given below. Test the claim that there is no difference between the variances of the two groups. Use      Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A statistics teacher wants to see whether there is a significant difference between the variance of the ages of day students and the variance of the ages of night students. A random sample of 31 students is selected from each group. The data are given below. Test the claim that there is no difference between the variances of the two groups. Use
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67
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
At a college, 61 female students were randomly selected and it was found that their monthly income had a
standard deviation of $218.70. For 121 male students, the standard deviation was $303.66. Test the claim that
variance of monthly incomes is higher for male students than it is for female students. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. At a college, 61 female students were randomly selected and it was found that their monthly income had a standard deviation of $218.70. For 121 male students, the standard deviation was $303.66. Test the claim that variance of monthly incomes is higher for male students than it is for female students. Use
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68
A medical researcher wishes to try three different techniques to lower blood pressure of patients with high blood pressure. The subjects are randomly selected and assigned to one of three groups. Group 1 is given
Medication, Group 2 is given an exercise program, and Group 3 is assigned a diet program. At the end of six
Weeks, each subjectʹs blood pressure is recorded. Find the critical value <strong>A medical researcher wishes to try three different techniques to lower blood pressure of patients with high blood pressure. The subjects are randomly selected and assigned to one of three groups. Group 1 is given Medication, Group 2 is given an exercise program, and Group 3 is assigned a diet program. At the end of six Weeks, each subjectʹs blood pressure is recorded. Find the critical value   to test the claim that there is no Difference among the means. Use   = 0.05.  </strong> A)3.68 B)19.43 C)4.77 D)39.43 to test the claim that there is no
Difference among the means. Use <strong>A medical researcher wishes to try three different techniques to lower blood pressure of patients with high blood pressure. The subjects are randomly selected and assigned to one of three groups. Group 1 is given Medication, Group 2 is given an exercise program, and Group 3 is assigned a diet program. At the end of six Weeks, each subjectʹs blood pressure is recorded. Find the critical value   to test the claim that there is no Difference among the means. Use   = 0.05.  </strong> A)3.68 B)19.43 C)4.77 D)39.43 = 0.05. <strong>A medical researcher wishes to try three different techniques to lower blood pressure of patients with high blood pressure. The subjects are randomly selected and assigned to one of three groups. Group 1 is given Medication, Group 2 is given an exercise program, and Group 3 is assigned a diet program. At the end of six Weeks, each subjectʹs blood pressure is recorded. Find the critical value   to test the claim that there is no Difference among the means. Use   = 0.05.  </strong> A)3.68 B)19.43 C)4.77 D)39.43

A)3.68
B)19.43
C)4.77
D)39.43
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69
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
A statistics teacher believes that the variance of test scores of students in her evening statistics class is lower
than the variance of test scores of students in her day class. The results of an exam, given to the day and
evening students, are shown below. Can the teacher conclude that the scores of evening students have a lower
variance? Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A statistics teacher believes that the variance of test scores of students in her evening statistics class is lower than the variance of test scores of students in her day class. The results of an exam, given to the day and evening students, are shown below. Can the teacher conclude that the scores of evening students have a lower variance? Use    Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A statistics teacher believes that the variance of test scores of students in her evening statistics class is lower than the variance of test scores of students in her day class. The results of an exam, given to the day and evening students, are shown below. Can the teacher conclude that the scores of evening students have a lower variance? Use
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70
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
Test the claim that Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    Two samples are randomly selected from populations that are normal. The
sample statistics are given below. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use    Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. Test the claim that   Two samples are randomly selected from populations that are normal. The sample statistics are given below. Use
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71
Find the test statistic F to test the claim that the populations have the same mean. <strong>Find the test statistic F to test the claim that the populations have the same mean.  </strong> A)1.403 B)1.021 C)1.182 D)0.832

A)1.403
B)1.021
C)1.182
D)0.832
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72
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
A random sample of 21 women had blood pressure levels with a variance of 553.6. A random sample of 18 men
had blood pressure levels with a variance of 368.64. Test the claim that the blood pressure levels for women
have a larger variance than those for men. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A random sample of 21 women had blood pressure levels with a variance of 553.6. A random sample of 18 men had blood pressure levels with a variance of 368.64. Test the claim that the blood pressure levels for women have a larger variance than those for men. Use
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73
Find the left-tailed and right-tailed critical F-values for a two-tailed test. Use the sample statistics below. Let Find the left-tailed and right-tailed critical F-values for a two-tailed test. Use the sample statistics below. Let   α = 0.05.  α = 0.05. Find the left-tailed and right-tailed critical F-values for a two-tailed test. Use the sample statistics below. Let   α = 0.05.
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74
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
A local bank has the reputation of having a variance in waiting times as low as that of any bank in the area. A
competitor bank in the area checks the waiting time at both banks and claims that its variance of waiting times
is lower than at the local bank. The sample statistics are listed below. Test the competitorʹs claim. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A local bank has the reputation of having a variance in waiting times as low as that of any bank in the area. A competitor bank in the area checks the waiting time at both banks and claims that its variance of waiting times is lower than at the local bank. The sample statistics are listed below. Test the competitorʹs claim. Use    Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A local bank has the reputation of having a variance in waiting times as low as that of any bank in the area. A competitor bank in the area checks the waiting time at both banks and claims that its variance of waiting times is lower than at the local bank. The sample statistics are listed below. Test the competitorʹs claim. Use
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75
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
A medical researcher suspects that the variance of the pulse rate of smokers is higher than the variance of the
pulse rate of non-smokers. Use the sample statistics below to test the researcherʹs suspicion. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A medical researcher suspects that the variance of the pulse rate of smokers is higher than the variance of the pulse rate of non-smokers. Use the sample statistics below to test the researcherʹs suspicion. Use   α = 0.05.  α = 0.05. Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A medical researcher suspects that the variance of the pulse rate of smokers is higher than the variance of the pulse rate of non-smokers. Use the sample statistics below to test the researcherʹs suspicion. Use   α = 0.05.
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76
Four different types of fertilizers are used on raspberry plants. The number of raspberries on each randomly selected plant is given below. Find the test statistic F to test the claim that the type of fertilizer makes no
Difference in the mean number of raspberries per plant.
<strong>Four different types of fertilizers are used on raspberry plants. The number of raspberries on each randomly selected plant is given below. Find the test statistic F to test the claim that the type of fertilizer makes no Difference in the mean number of raspberries per plant.  </strong> A)8.357 B)8.123 C)7.123 D)6.912

A)8.357
B)8.123
C)7.123
D)6.912
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77
A medical researcher wishes to try three different techniques to lower blood pressure of patients with high blood pressure. The subjects are randomly selected and assigned to one of three groups. Group 1 is given
Medication, Group 2 is given an exercise program, and Group 3 is assigned a diet program. At the end of six
Weeks, each subjectʹs blood pressure is recorded. Find the test statistic F to test the claim that there is no
Difference among the means. <strong>A medical researcher wishes to try three different techniques to lower blood pressure of patients with high blood pressure. The subjects are randomly selected and assigned to one of three groups. Group 1 is given Medication, Group 2 is given an exercise program, and Group 3 is assigned a diet program. At the end of six Weeks, each subjectʹs blood pressure is recorded. Find the test statistic F to test the claim that there is no Difference among the means.   949 804</strong> A)11.095 B)9.812 C)8.369 D)12.162 949
804

A)11.095
B)9.812
C)8.369
D)12.162
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78
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
A study was conducted to determine if the variances of elementary school teacher salaries from two
neighboring districts were equal. A sample of 25 teachers from each district was selected. The first district had
a standard deviation of Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A study was conducted to determine if the variances of elementary school teacher salaries from two neighboring districts were equal. A sample of 25 teachers from each district was selected. The first district had a standard deviation of   = $4830, and the second district had a standard deviation   = $4410. Test the claim that the variances of the salaries from both districts are equal. Use  = $4830, and the second district had a standard deviation Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A study was conducted to determine if the variances of elementary school teacher salaries from two neighboring districts were equal. A sample of 25 teachers from each district was selected. The first district had a standard deviation of   = $4830, and the second district had a standard deviation   = $4410. Test the claim that the variances of the salaries from both districts are equal. Use  = $4410. Test the claim
that the variances of the salaries from both districts are equal. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A study was conducted to determine if the variances of elementary school teacher salaries from two neighboring districts were equal. A sample of 25 teachers from each district was selected. The first district had a standard deviation of   = $4830, and the second district had a standard deviation   = $4410. Test the claim that the variances of the salaries from both districts are equal. Use
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79
Find the critical <strong>Find the critical   -value to test the claim that the populations have the same mean. Use    </strong> A)3.47 B)3.210 C)2.819 D)1.892 -value to test the claim that the populations have the same mean. Use <strong>Find the critical   -value to test the claim that the populations have the same mean. Use    </strong> A)3.47 B)3.210 C)2.819 D)1.892 <strong>Find the critical   -value to test the claim that the populations have the same mean. Use    </strong> A)3.47 B)3.210 C)2.819 D)1.892

A)3.47
B)3.210
C)2.819
D)1.892
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80
Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative
hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to
reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are
independent and that each population has a normal distribution.
A local bank has the reputation of having a variance in waiting times as low as that of any bank in the area. A
competitor bank in the area checks the waiting time at both banks and claims that its variance of waiting times
is lower than at the local bank. The sample statistics are listed below. Test the competitorʹs claim. Use Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A local bank has the reputation of having a variance in waiting times as low as that of any bank in the area. A competitor bank in the area checks the waiting time at both banks and claims that its variance of waiting times is lower than at the local bank. The sample statistics are listed below. Test the competitorʹs claim. Use    Perform the indicated hypothesis test. Be sure to do the following: identify the claim and state the null and alternative hypotheses. Determine the critical value and rejection region. Calculate the test statistic. Decide to reject or to fail to reject the null hypothesis and interpret the decision in the context of the original claim. Assume that the samples are independent and that each population has a normal distribution. A local bank has the reputation of having a variance in waiting times as low as that of any bank in the area. A competitor bank in the area checks the waiting time at both banks and claims that its variance of waiting times is lower than at the local bank. The sample statistics are listed below. Test the competitorʹs claim. Use
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