Deck 12: Inference on Categorical Data

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Determine the expected counts for each outcome.n = 400 <strong>Determine the expected counts for each outcome.n = 400  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>

A) <strong>Determine the expected counts for each outcome.n = 400  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Determine the expected counts for each outcome.n = 400  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Determine the expected counts for each outcome.n = 400  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Determine the expected counts for each outcome.n = 400  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
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Many track hurdlers 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 hurdlers in the different starting positions. Calculate the chi-square test statistic <strong>Many track hurdlers 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 hurdlers in the different starting positions. Calculate the chi-square test statistic   to test the claim that the probabilities of winning are the same in the different positions.   The results are based on 240 wins.  </strong> A) 12.592 B) 15.541 C) 6.750 D) 9.326 <div style=padding-top: 35px> to test the claim that the probabilities of winning are the same in the different positions. <strong>Many track hurdlers 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 hurdlers in the different starting positions. Calculate the chi-square test statistic   to test the claim that the probabilities of winning are the same in the different positions.   The results are based on 240 wins.  </strong> A) 12.592 B) 15.541 C) 6.750 D) 9.326 <div style=padding-top: 35px> The results are based on 240 wins. <strong>Many track hurdlers 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 hurdlers in the different starting positions. Calculate the chi-square test statistic   to test the claim that the probabilities of winning are the same in the different positions.   The results are based on 240 wins.  </strong> A) 12.592 B) 15.541 C) 6.750 D) 9.326 <div style=padding-top: 35px>

A) 12.592
B) 15.541
C) 6.750
D) 9.326
Question
Many track hurdlers 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 hurdlers in the different starting positions. Find the P-value to test the claim that the probabilities of winning are the same in the different positions. Use ? = 0.05. The results are based on 240 wins. <strong>Many track hurdlers 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 hurdlers in the different starting positions. Find the P-value to test the claim that the probabilities of winning are the same in the different positions. Use ? = 0.05. The results are based on 240 wins.  </strong> A) P-value < 0.005 B) 0.01 < P-value < 0.025 C) P-value > 0.10 D) 0.025 < P-value < 0.05 <div style=padding-top: 35px>

A) P-value < 0.005
B) 0.01 < P-value < 0.025
C) P-value > 0.10
D) 0.025 < P-value < 0.05
Question
Many track hurdlers 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 hurdlers in the different starting positions. Test the claim that the probabilities of winning are the same in the different positions. Use α = 0.05. The results are based on 240 wins. Many track hurdlers 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 hurdlers in the different starting positions. Test the claim that the probabilities of winning are the same in the different positions. Use α = 0.05. The results are based on 240 wins.  <div style=padding-top: 35px>
Question
A teacher figures that final grades in the chemistry department are distributed as: A, 25%; <strong>A teacher figures that final grades in the chemistry department are distributed as: A, 25%;       F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Find the P-value to determine if the grade distribution for the department is different than expected. Use ? = 0.01.  </strong> A) 0.025 < P-value < 0.05 B) P-value > 0.10 C) P-value < 0.005 D) 0.01 < P-value < 0.025 <div style=padding-top: 35px> <strong>A teacher figures that final grades in the chemistry department are distributed as: A, 25%;       F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Find the P-value to determine if the grade distribution for the department is different than expected. Use ? = 0.01.  </strong> A) 0.025 < P-value < 0.05 B) P-value > 0.10 C) P-value < 0.005 D) 0.01 < P-value < 0.025 <div style=padding-top: 35px> <strong>A teacher figures that final grades in the chemistry department are distributed as: A, 25%;       F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Find the P-value to determine if the grade distribution for the department is different than expected. Use ? = 0.01.  </strong> A) 0.025 < P-value < 0.05 B) P-value > 0.10 C) P-value < 0.005 D) 0.01 < P-value < 0.025 <div style=padding-top: 35px> F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Find the P-value to determine if the grade distribution for the department is different than expected. Use ? = 0.01. <strong>A teacher figures that final grades in the chemistry department are distributed as: A, 25%;       F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Find the P-value to determine if the grade distribution for the department is different than expected. Use ? = 0.01.  </strong> A) 0.025 < P-value < 0.05 B) P-value > 0.10 C) P-value < 0.005 D) 0.01 < P-value < 0.025 <div style=padding-top: 35px>

A) 0.025 < P-value < 0.05
B) P-value > 0.10
C) P-value < 0.005
D) 0.01 < P-value < 0.025
Question
A teacher figures that final grades in the chemistry department are distributed as: A, 25%; A teacher figures that final grades in the chemistry department are distributed as: A, 25%;       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 α = 0.01.  <div style=padding-top: 35px> A teacher figures that final grades in the chemistry department are distributed as: A, 25%;       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 α = 0.01.  <div style=padding-top: 35px> A teacher figures that final grades in the chemistry department are distributed as: A, 25%;       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 α = 0.01.  <div style=padding-top: 35px> 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 α = 0.01. A teacher figures that final grades in the chemistry department are distributed as: A, 25%;       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 α = 0.01.  <div style=padding-top: 35px>
Question
A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately <strong>A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately   of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Calculate the chi-square test statistic   to test the student's claim.    </strong> A) 2.143 B) 4.312 C) 5.013 D) 3.067 <div style=padding-top: 35px> of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Calculate the chi-square test statistic <strong>A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately   of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Calculate the chi-square test statistic   to test the student's claim.    </strong> A) 2.143 B) 4.312 C) 5.013 D) 3.067 <div style=padding-top: 35px> to test the student's claim. <strong>A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately   of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Calculate the chi-square test statistic   to test the student's claim.    </strong> A) 2.143 B) 4.312 C) 5.013 D) 3.067 <div style=padding-top: 35px> <strong>A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately   of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Calculate the chi-square test statistic   to test the student's claim.    </strong> A) 2.143 B) 4.312 C) 5.013 D) 3.067 <div style=padding-top: 35px>

A) 2.143
B) 4.312
C) 5.013
D) 3.067
Question
A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately <strong>A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately   of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Find the P-value to test the student's claim. Use ? = 0.10.  </strong> A) P-value < 0.005 B) 0.025 < P-value < 0.05 C) P-value > 0.10 D) 0.05 < P-value < 0.10 <div style=padding-top: 35px> of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Find the P-value to test the student's claim. Use ? = 0.10. <strong>A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately   of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Find the P-value to test the student's claim. Use ? = 0.10.  </strong> A) P-value < 0.005 B) 0.025 < P-value < 0.05 C) P-value > 0.10 D) 0.05 < P-value < 0.10 <div style=padding-top: 35px>

A) P-value < 0.005
B) 0.025 < P-value < 0.05
C) P-value > 0.10
D) 0.05 < P-value < 0.10
Question
A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately   of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Test the student's claim. Use α = 0.10.  <div style=padding-top: 35px> of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Test the student's claim. Use α = 0.10. A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately   of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Test the student's claim. Use α = 0.10.  <div style=padding-top: 35px>
Question
The results of a recent national survey reported that 70% of Americans recycle at least some of the time. As part of their final project in statistics class, Nayla and Roberto survey 5 random students on campus and ask them if they recycle at least some of the time. They then repeat this experiment 1000 times. The results of their research are shown below. The results of a recent national survey reported that 70% of Americans recycle at least some of the time. As part of their final project in statistics class, Nayla and Roberto survey 5 random students on campus and ask them if they recycle at least some of the time. They then repeat this experiment 1000 times. The results of their research are shown below.   Is there evidence to support the belief that the random variable X, the number of students out of 5 who recycle at least some of the time, is a binomial random variable with   at the   level?<div style=padding-top: 35px> Is there evidence to support the belief that the random variable X, the number of students out of 5 who recycle at least some of the time, is a binomial random variable with The results of a recent national survey reported that 70% of Americans recycle at least some of the time. As part of their final project in statistics class, Nayla and Roberto survey 5 random students on campus and ask them if they recycle at least some of the time. They then repeat this experiment 1000 times. The results of their research are shown below.   Is there evidence to support the belief that the random variable X, the number of students out of 5 who recycle at least some of the time, is a binomial random variable with   at the   level?<div style=padding-top: 35px> at the The results of a recent national survey reported that 70% of Americans recycle at least some of the time. As part of their final project in statistics class, Nayla and Roberto survey 5 random students on campus and ask them if they recycle at least some of the time. They then repeat this experiment 1000 times. The results of their research are shown below.   Is there evidence to support the belief that the random variable X, the number of students out of 5 who recycle at least some of the time, is a binomial random variable with   at the   level?<div style=padding-top: 35px> level?
Question
A sports statistician is interested in determining if there is a relationship between the number of home team and visiting team losses and different sports. A random sample of 526 games is selected and the results are given below. Calculate the chi-square test statistic <strong>A sports statistician is interested in determining if there is a relationship between the number of home team and visiting team losses and different sports. A random sample of 526 games is selected and the results are given below. Calculate the chi-square test statistic   to test the claim that the number of home team and visiting team losses is independent of the sport. Use ? = 0.01.  </strong> A) 2.919 B) 4.192 C) 5.391 D) 3.290 <div style=padding-top: 35px> to test the claim that the number of home team and visiting team losses is independent of the sport. Use ? = 0.01. <strong>A sports statistician is interested in determining if there is a relationship between the number of home team and visiting team losses and different sports. A random sample of 526 games is selected and the results are given below. Calculate the chi-square test statistic   to test the claim that the number of home team and visiting team losses is independent of the sport. Use ? = 0.01.  </strong> A) 2.919 B) 4.192 C) 5.391 D) 3.290 <div style=padding-top: 35px>

A) 2.919
B) 4.192
C) 5.391
D) 3.290
Question
A sports statistician is interested in determining if there is a relationship between the number of home team and visiting team losses and different sports. A random sample of 526 games is selected and the results are given below. Find the P-value to test the claim that the number of home team and visiting team losses is independent of the sport. <strong>A sports statistician is interested in determining if there is a relationship between the number of home team and visiting team losses and different sports. A random sample of 526 games is selected and the results are given below. Find the P-value to test the claim that the number of home team and visiting team losses is independent of the sport.  </strong> A) 0.005 < P-value < 0.01 B) P-value < 0.005 C) 0.01 < P-value < 0.025 D) P-value > 0.10 <div style=padding-top: 35px>

A) 0.005 < P-value < 0.01
B) P-value < 0.005
C) 0.01 < P-value < 0.025
D) P-value > 0.10
Question
A sports statistician is interested in determining if there is a relationship between the number of home team and visiting team losses and different sports. A random sample of 526 games is selected and the results are given below. Test the claim that the number of home team and visiting team losses is independent of the sport. Use A sports statistician is interested in determining if there is a relationship between the number of home team and visiting team losses and different sports. A random sample of 526 games is selected and the results are given below. Test the claim that the number of home team and visiting team losses is independent of the sport. Use    <div style=padding-top: 35px> A sports statistician is interested in determining if there is a relationship between the number of home team and visiting team losses and different sports. A random sample of 526 games is selected and the results are given below. Test the claim that the number of home team and visiting team losses is independent of the sport. Use    <div style=padding-top: 35px>
Question
The data below show the age and favorite type of reading of 779 randomly selected people. Test the claim that age and preferred reading type are independent. Use α = 0.05. The data below show the age and favorite type of reading of 779 randomly selected people. Test the claim that age and preferred reading type are independent. Use α = 0.05.  <div style=padding-top: 35px>
Question
A random sample of 400 men and 400 women was randomly selected and asked whether they planned to attend a concert in the next month. The results are listed below. Perform a homogeneity of proportions test to test the claim that the proportion of men who plan to attend a concert in the next month is the same as the proportion of women who plan to attend a concert in the next month. Use α = 0.05. A random sample of 400 men and 400 women was randomly selected and asked whether they planned to attend a concert in the next month. The results are listed below. Perform a homogeneity of proportions test to test the claim that the proportion of men who plan to attend a concert in the next month is the same as the proportion of women who plan to attend a concert in the next month. Use α = 0.05.  <div style=padding-top: 35px>
Question
In a chi-square test of homogeneity of proportions we test the claims that

A) the proportion of individuals with a given characteristic doesn't change over time.
B) the proportion of a population having a given characteristic is based on the homogeneity of the population.
C) across a single sample the proportion of individuals with the same characteristic is the same as the population.
D) different populations have the same proportions of individuals with the same characteristics.
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Deck 12: Inference on Categorical Data
1
Determine the expected counts for each outcome.n = 400 <strong>Determine the expected counts for each outcome.n = 400  </strong> A)   B)   C)   D)

A) <strong>Determine the expected counts for each outcome.n = 400  </strong> A)   B)   C)   D)
B) <strong>Determine the expected counts for each outcome.n = 400  </strong> A)   B)   C)   D)
C) <strong>Determine the expected counts for each outcome.n = 400  </strong> A)   B)   C)   D)
D) <strong>Determine the expected counts for each outcome.n = 400  </strong> A)   B)   C)   D)

2
Many track hurdlers 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 hurdlers in the different starting positions. Calculate the chi-square test statistic <strong>Many track hurdlers 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 hurdlers in the different starting positions. Calculate the chi-square test statistic   to test the claim that the probabilities of winning are the same in the different positions.   The results are based on 240 wins.  </strong> A) 12.592 B) 15.541 C) 6.750 D) 9.326 to test the claim that the probabilities of winning are the same in the different positions. <strong>Many track hurdlers 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 hurdlers in the different starting positions. Calculate the chi-square test statistic   to test the claim that the probabilities of winning are the same in the different positions.   The results are based on 240 wins.  </strong> A) 12.592 B) 15.541 C) 6.750 D) 9.326 The results are based on 240 wins. <strong>Many track hurdlers 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 hurdlers in the different starting positions. Calculate the chi-square test statistic   to test the claim that the probabilities of winning are the same in the different positions.   The results are based on 240 wins.  </strong> A) 12.592 B) 15.541 C) 6.750 D) 9.326

A) 12.592
B) 15.541
C) 6.750
D) 9.326
6.750
3
Many track hurdlers 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 hurdlers in the different starting positions. Find the P-value to test the claim that the probabilities of winning are the same in the different positions. Use ? = 0.05. The results are based on 240 wins. <strong>Many track hurdlers 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 hurdlers in the different starting positions. Find the P-value to test the claim that the probabilities of winning are the same in the different positions. Use ? = 0.05. The results are based on 240 wins.  </strong> A) P-value < 0.005 B) 0.01 < P-value < 0.025 C) P-value > 0.10 D) 0.025 < P-value < 0.05

A) P-value < 0.005
B) 0.01 < P-value < 0.025
C) P-value > 0.10
D) 0.025 < P-value < 0.05
P-value > 0.10
4
Many track hurdlers 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 hurdlers in the different starting positions. Test the claim that the probabilities of winning are the same in the different positions. Use α = 0.05. The results are based on 240 wins. Many track hurdlers 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 hurdlers in the different starting positions. Test the claim that the probabilities of winning are the same in the different positions. Use α = 0.05. The results are based on 240 wins.
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A teacher figures that final grades in the chemistry department are distributed as: A, 25%; <strong>A teacher figures that final grades in the chemistry department are distributed as: A, 25%;       F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Find the P-value to determine if the grade distribution for the department is different than expected. Use ? = 0.01.  </strong> A) 0.025 < P-value < 0.05 B) P-value > 0.10 C) P-value < 0.005 D) 0.01 < P-value < 0.025 <strong>A teacher figures that final grades in the chemistry department are distributed as: A, 25%;       F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Find the P-value to determine if the grade distribution for the department is different than expected. Use ? = 0.01.  </strong> A) 0.025 < P-value < 0.05 B) P-value > 0.10 C) P-value < 0.005 D) 0.01 < P-value < 0.025 <strong>A teacher figures that final grades in the chemistry department are distributed as: A, 25%;       F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Find the P-value to determine if the grade distribution for the department is different than expected. Use ? = 0.01.  </strong> A) 0.025 < P-value < 0.05 B) P-value > 0.10 C) P-value < 0.005 D) 0.01 < P-value < 0.025 F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Find the P-value to determine if the grade distribution for the department is different than expected. Use ? = 0.01. <strong>A teacher figures that final grades in the chemistry department are distributed as: A, 25%;       F, 5%. At the end of a randomly selected semester, the following number of grades were recorded. Find the P-value to determine if the grade distribution for the department is different than expected. Use ? = 0.01.  </strong> A) 0.025 < P-value < 0.05 B) P-value > 0.10 C) P-value < 0.005 D) 0.01 < P-value < 0.025

A) 0.025 < P-value < 0.05
B) P-value > 0.10
C) P-value < 0.005
D) 0.01 < P-value < 0.025
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A teacher figures that final grades in the chemistry department are distributed as: A, 25%; A teacher figures that final grades in the chemistry department are distributed as: A, 25%;       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 α = 0.01.  A teacher figures that final grades in the chemistry department are distributed as: A, 25%;       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 α = 0.01.  A teacher figures that final grades in the chemistry department are distributed as: A, 25%;       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 α = 0.01.  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 α = 0.01. A teacher figures that final grades in the chemistry department are distributed as: A, 25%;       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 α = 0.01.
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7
A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately <strong>A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately   of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Calculate the chi-square test statistic   to test the student's claim.    </strong> A) 2.143 B) 4.312 C) 5.013 D) 3.067 of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Calculate the chi-square test statistic <strong>A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately   of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Calculate the chi-square test statistic   to test the student's claim.    </strong> A) 2.143 B) 4.312 C) 5.013 D) 3.067 to test the student's claim. <strong>A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately   of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Calculate the chi-square test statistic   to test the student's claim.    </strong> A) 2.143 B) 4.312 C) 5.013 D) 3.067 <strong>A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately   of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Calculate the chi-square test statistic   to test the student's claim.    </strong> A) 2.143 B) 4.312 C) 5.013 D) 3.067

A) 2.143
B) 4.312
C) 5.013
D) 3.067
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8
A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately <strong>A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately   of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Find the P-value to test the student's claim. Use ? = 0.10.  </strong> A) P-value < 0.005 B) 0.025 < P-value < 0.05 C) P-value > 0.10 D) 0.05 < P-value < 0.10 of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Find the P-value to test the student's claim. Use ? = 0.10. <strong>A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately   of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Find the P-value to test the student's claim. Use ? = 0.10.  </strong> A) P-value < 0.005 B) 0.025 < P-value < 0.05 C) P-value > 0.10 D) 0.05 < P-value < 0.10

A) P-value < 0.005
B) 0.025 < P-value < 0.05
C) P-value > 0.10
D) 0.05 < P-value < 0.10
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9
A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately   of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Test the student's claim. Use α = 0.10.  of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Test the student's claim. Use α = 0.10. A spinner is mounted on a piece of cardboard divided into six areas of equal size. Each of the six areas is a different color (blue, yellow, red, green, white and orange). When the spinner is spun, each color should be selected by the spinner approximately   of the time. A student suspects that a certain spinner is defective. The suspected spinner is spun 90 times. The results are shown below. Test the student's claim. Use α = 0.10.
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10
The results of a recent national survey reported that 70% of Americans recycle at least some of the time. As part of their final project in statistics class, Nayla and Roberto survey 5 random students on campus and ask them if they recycle at least some of the time. They then repeat this experiment 1000 times. The results of their research are shown below. The results of a recent national survey reported that 70% of Americans recycle at least some of the time. As part of their final project in statistics class, Nayla and Roberto survey 5 random students on campus and ask them if they recycle at least some of the time. They then repeat this experiment 1000 times. The results of their research are shown below.   Is there evidence to support the belief that the random variable X, the number of students out of 5 who recycle at least some of the time, is a binomial random variable with   at the   level? Is there evidence to support the belief that the random variable X, the number of students out of 5 who recycle at least some of the time, is a binomial random variable with The results of a recent national survey reported that 70% of Americans recycle at least some of the time. As part of their final project in statistics class, Nayla and Roberto survey 5 random students on campus and ask them if they recycle at least some of the time. They then repeat this experiment 1000 times. The results of their research are shown below.   Is there evidence to support the belief that the random variable X, the number of students out of 5 who recycle at least some of the time, is a binomial random variable with   at the   level? at the The results of a recent national survey reported that 70% of Americans recycle at least some of the time. As part of their final project in statistics class, Nayla and Roberto survey 5 random students on campus and ask them if they recycle at least some of the time. They then repeat this experiment 1000 times. The results of their research are shown below.   Is there evidence to support the belief that the random variable X, the number of students out of 5 who recycle at least some of the time, is a binomial random variable with   at the   level? level?
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11
A sports statistician is interested in determining if there is a relationship between the number of home team and visiting team losses and different sports. A random sample of 526 games is selected and the results are given below. Calculate the chi-square test statistic <strong>A sports statistician is interested in determining if there is a relationship between the number of home team and visiting team losses and different sports. A random sample of 526 games is selected and the results are given below. Calculate the chi-square test statistic   to test the claim that the number of home team and visiting team losses is independent of the sport. Use ? = 0.01.  </strong> A) 2.919 B) 4.192 C) 5.391 D) 3.290 to test the claim that the number of home team and visiting team losses is independent of the sport. Use ? = 0.01. <strong>A sports statistician is interested in determining if there is a relationship between the number of home team and visiting team losses and different sports. A random sample of 526 games is selected and the results are given below. Calculate the chi-square test statistic   to test the claim that the number of home team and visiting team losses is independent of the sport. Use ? = 0.01.  </strong> A) 2.919 B) 4.192 C) 5.391 D) 3.290

A) 2.919
B) 4.192
C) 5.391
D) 3.290
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12
A sports statistician is interested in determining if there is a relationship between the number of home team and visiting team losses and different sports. A random sample of 526 games is selected and the results are given below. Find the P-value to test the claim that the number of home team and visiting team losses is independent of the sport. <strong>A sports statistician is interested in determining if there is a relationship between the number of home team and visiting team losses and different sports. A random sample of 526 games is selected and the results are given below. Find the P-value to test the claim that the number of home team and visiting team losses is independent of the sport.  </strong> A) 0.005 < P-value < 0.01 B) P-value < 0.005 C) 0.01 < P-value < 0.025 D) P-value > 0.10

A) 0.005 < P-value < 0.01
B) P-value < 0.005
C) 0.01 < P-value < 0.025
D) P-value > 0.10
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13
A sports statistician is interested in determining if there is a relationship between the number of home team and visiting team losses and different sports. A random sample of 526 games is selected and the results are given below. Test the claim that the number of home team and visiting team losses is independent of the sport. Use A sports statistician is interested in determining if there is a relationship between the number of home team and visiting team losses and different sports. A random sample of 526 games is selected and the results are given below. Test the claim that the number of home team and visiting team losses is independent of the sport. Use    A sports statistician is interested in determining if there is a relationship between the number of home team and visiting team losses and different sports. A random sample of 526 games is selected and the results are given below. Test the claim that the number of home team and visiting team losses is independent of the sport. Use
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14
The data below show the age and favorite type of reading of 779 randomly selected people. Test the claim that age and preferred reading type are independent. Use α = 0.05. The data below show the age and favorite type of reading of 779 randomly selected people. Test the claim that age and preferred reading type are independent. Use α = 0.05.
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15
A random sample of 400 men and 400 women was randomly selected and asked whether they planned to attend a concert in the next month. The results are listed below. Perform a homogeneity of proportions test to test the claim that the proportion of men who plan to attend a concert in the next month is the same as the proportion of women who plan to attend a concert in the next month. Use α = 0.05. A random sample of 400 men and 400 women was randomly selected and asked whether they planned to attend a concert in the next month. The results are listed below. Perform a homogeneity of proportions test to test the claim that the proportion of men who plan to attend a concert in the next month is the same as the proportion of women who plan to attend a concert in the next month. Use α = 0.05.
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16
In a chi-square test of homogeneity of proportions we test the claims that

A) the proportion of individuals with a given characteristic doesn't change over time.
B) the proportion of a population having a given characteristic is based on the homogeneity of the population.
C) across a single sample the proportion of individuals with the same characteristic is the same as the population.
D) different populations have the same proportions of individuals with the same characteristics.
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