Deck 9: Inferences on Two Samples

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Question
A garden supplier claims that its new variety of giant tomato produces fruit with an mean weight of 45 ounces. A test is made of <strong>A garden supplier claims that its new variety of giant tomato produces fruit with an mean weight of 45 ounces. A test is made of    The null hypothesis is rejected. State the appropriate conclusion.</strong> A) There is not enough evidence to conclude that the mean weight differs from 45 ounces. B) The mean weight is not equal to 45 ounces. C) There is not enough evidence to conclude that the mean weight is 45 ounces. D) The mean weight is equal to 45 ounces. <div style=padding-top: 35px>

The null hypothesis
is rejected. State the appropriate conclusion.

A) There is not enough evidence to conclude that the mean weight differs from 45 ounces.
B) The mean weight is not equal to 45 ounces.
C) There is not enough evidence to conclude that the mean weight is 45 ounces.
D) The mean weight is equal to 45 ounces.
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Question
A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 25.6 miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of  25.6  miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let     be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   Assume that the air filter changes are effective but the conclusion is reached that the chan might not be effective. Which type of error, of any, has occurred?</strong> A) No error - correct decision B) Type I C) Mechanical failure D) Type II <div style=padding-top: 35px> be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of  25.6  miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let     be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   Assume that the air filter changes are effective but the conclusion is reached that the chan might not be effective. Which type of error, of any, has occurred?</strong> A) No error - correct decision B) Type I C) Mechanical failure D) Type II <div style=padding-top: 35px>
A test is made of <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of  25.6  miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let     be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   Assume that the air filter changes are effective but the conclusion is reached that the chan might not be effective. Which type of error, of any, has occurred?</strong> A) No error - correct decision B) Type I C) Mechanical failure D) Type II <div style=padding-top: 35px>
Assume that the air filter changes are effective but the conclusion is reached that the chan might not be effective. Which type of error, of any, has occurred?

A) No error - correct decision
B) Type I
C) Mechanical failure
D) Type II
Question
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Question
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Question
A garden supplier claims that its new variety of giant tomato produces fruit with an mean weight of 44 ounces. A test is made of <strong>A garden supplier claims that its new variety of giant tomato produces fruit with an mean weight of 44 ounces. A test is made of    The null hypothesis is not rejected. State the appropriate conclusion.</strong> A) There is not enough evidence to conclude that the mean weight differs from 44 ounces. B) The mean weight is equal to 44 ounces. C) There is not enough evidence to conclude that the mean weight is 44 ounces. D) The mean weight is not equal to 44 ounces. <div style=padding-top: 35px>

The null hypothesis
is not rejected. State the appropriate conclusion.

A) There is not enough evidence to conclude that the mean weight differs from 44 ounces.
B) The mean weight is equal to 44 ounces.
C) There is not enough evidence to conclude that the mean weight is 44 ounces.
D) The mean weight is not equal to 44 ounces.
Question
A sample of 75 chewable vitamin tablets have a sample mean of 251 milligrams ofvitamin C. ) A sample of 75 chewable vitamin tablets have a sample mean of 251 milligrams ofvitamin C. )  <div style=padding-top: 35px>
Question
A new organic pest control formula is being tested on potato plants to see whether it can reduce the level of potato beetle infestation. The mean number of beetles per untreated plant is 5 . It is hoped that the new formula may reduce this infestation rate. State the appropriate null and alternate hypotheses.

A) <strong>A new organic pest control formula is being tested on potato plants to see whether it can reduce the level of potato beetle infestation. The mean number of beetles per untreated plant is 5 . It is hoped that the new formula may reduce this infestation rate. State the appropriate null and alternate hypotheses.</strong> A)   B).   C)   D)   <div style=padding-top: 35px>
B). <strong>A new organic pest control formula is being tested on potato plants to see whether it can reduce the level of potato beetle infestation. The mean number of beetles per untreated plant is 5 . It is hoped that the new formula may reduce this infestation rate. State the appropriate null and alternate hypotheses.</strong> A)   B).   C)   D)   <div style=padding-top: 35px>
C) <strong>A new organic pest control formula is being tested on potato plants to see whether it can reduce the level of potato beetle infestation. The mean number of beetles per untreated plant is 5 . It is hoped that the new formula may reduce this infestation rate. State the appropriate null and alternate hypotheses.</strong> A)   B).   C)   D)   <div style=padding-top: 35px>
D) <strong>A new organic pest control formula is being tested on potato plants to see whether it can reduce the level of potato beetle infestation. The mean number of beetles per untreated plant is 5 . It is hoped that the new formula may reduce this infestation rate. State the appropriate null and alternate hypotheses.</strong> A)   B).   C)   D)   <div style=padding-top: 35px>
Question
A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24 miles per gallon (mpg). A random sample of 60 cars are selected and the air filter of each is replaced with a new one. Let <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24 miles per gallon (mpg). A random sample of 60 cars are selected and the air filter of each is replaced with a new one. Let   be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   Assume that the air filter changes are not effective. Which type of error is impossible?</strong> A) Type I B) Type II <div style=padding-top: 35px> be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24 miles per gallon (mpg). A random sample of 60 cars are selected and the air filter of each is replaced with a new one. Let   be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   Assume that the air filter changes are not effective. Which type of error is impossible?</strong> A) Type I B) Type II <div style=padding-top: 35px> A test is made of <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24 miles per gallon (mpg). A random sample of 60 cars are selected and the air filter of each is replaced with a new one. Let   be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   Assume that the air filter changes are not effective. Which type of error is impossible?</strong> A) Type I B) Type II <div style=padding-top: 35px>
Assume that the air filter changes are not effective. Which type of error is impossible?

A) Type I
B) Type II
Question
Determine whether the outcome is a Type I error, a Type II error, or a correct decision.
A test is made of <strong>Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of   versus   The true value of     is 18 and   not rejected.</strong> A) Type II error B) Type I error C) Correct decision <div style=padding-top: 35px> versus <strong>Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of   versus   The true value of     is 18 and   not rejected.</strong> A) Type II error B) Type I error C) Correct decision <div style=padding-top: 35px> The true value of <strong>Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of   versus   The true value of     is 18 and   not rejected.</strong> A) Type II error B) Type I error C) Correct decision <div style=padding-top: 35px> is 18 and <strong>Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of   versus   The true value of     is 18 and   not rejected.</strong> A) Type II error B) Type I error C) Correct decision <div style=padding-top: 35px>
not rejected.

A) Type II error
B) Type I error
C) Correct decision
Question
A test is made of <strong>A test is made of     The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
<strong>A test is made of     The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the  </strong> A)   B)   C)   D)   <div style=padding-top: 35px> The population standard deviation is <strong>A test is made of     The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the  </strong> A)   B)   C)   D)   <div style=padding-top: 35px> Compute the value of the test
statistic z and determine if <strong>A test is made of     The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the  </strong> A)   B)   C)   D)   <div style=padding-top: 35px> is rejected at the <strong>A test is made of     The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>

A) <strong>A test is made of     The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>A test is made of     The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>A test is made of     The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>A test is made of     The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
A test of <strong>A test of   is performed using a significance level of   The value of the test statistic is   rejected?</strong> A) Yes B) No C) It cannot be determined. <div style=padding-top: 35px> is performed using a significance level of <strong>A test of   is performed using a significance level of   The value of the test statistic is   rejected?</strong> A) Yes B) No C) It cannot be determined. <div style=padding-top: 35px> The value of the test statistic is <strong>A test of   is performed using a significance level of   The value of the test statistic is   rejected?</strong> A) Yes B) No C) It cannot be determined. <div style=padding-top: 35px> rejected?

A) Yes
B) No
C) It cannot be determined.
Question
A test is made of <strong>A test is made of   A sample of size  n=72  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z .</strong> A)  0.04 B)  1.63 C)  0.62 D)  0.31 <div style=padding-top: 35px>
A sample of size n=72 is drawn, and <strong>A test is made of   A sample of size  n=72  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z .</strong> A)  0.04 B)  1.63 C)  0.62 D)  0.31 <div style=padding-top: 35px> The population standard deviation is <strong>A test is made of   A sample of size  n=72  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z .</strong> A)  0.04 B)  1.63 C)  0.62 D)  0.31 <div style=padding-top: 35px> Compute the value of the test statistic z .

A) 0.04
B) 1.63
C) 0.62
D) 0.31
Question
Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of <strong>Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of   versus   The true value of   is 5 and   is rejected.</strong> A) Type I error B) Correct decision C) Type II error <div style=padding-top: 35px> versus <strong>Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of   versus   The true value of   is 5 and   is rejected.</strong> A) Type I error B) Correct decision C) Type II error <div style=padding-top: 35px> The true value of <strong>Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of   versus   The true value of   is 5 and   is rejected.</strong> A) Type I error B) Correct decision C) Type II error <div style=padding-top: 35px> is 5 and <strong>Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of   versus   The true value of   is 5 and   is rejected.</strong> A) Type I error B) Correct decision C) Type II error <div style=padding-top: 35px> is rejected.

A) Type I error
B) Correct decision
C) Type II error
Question
A test is made of <strong>A test is made of   A sample of size  n=68  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z .</strong> A)  -1.84 B)  -0.05 C)  -0.41 D)  0.34 <div style=padding-top: 35px>
A sample of size n=68 is drawn, and <strong>A test is made of   A sample of size  n=68  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z .</strong> A)  -1.84 B)  -0.05 C)  -0.41 D)  0.34 <div style=padding-top: 35px> The population standard deviation is <strong>A test is made of   A sample of size  n=68  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z .</strong> A)  -1.84 B)  -0.05 C)  -0.41 D)  0.34 <div style=padding-top: 35px> Compute the value of the test statistic z .

A) -1.84
B) -0.05
C) -0.41
D) 0.34
Question
A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 27 miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 27 miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let    be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   versus   Consider these possible conclusions: i). The air filter changes are effective. ii). The air filter changes are not effective. iii). The air filter changes might not be effective. Which of the three conclusions is best if    is not rejected?</strong> A) ii B) i C) iii <div style=padding-top: 35px> be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 27 miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let    be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   versus   Consider these possible conclusions: i). The air filter changes are effective. ii). The air filter changes are not effective. iii). The air filter changes might not be effective. Which of the three conclusions is best if    is not rejected?</strong> A) ii B) i C) iii <div style=padding-top: 35px> A test is made of <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 27 miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let    be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   versus   Consider these possible conclusions: i). The air filter changes are effective. ii). The air filter changes are not effective. iii). The air filter changes might not be effective. Which of the three conclusions is best if    is not rejected?</strong> A) ii B) i C) iii <div style=padding-top: 35px> versus <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 27 miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let    be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   versus   Consider these possible conclusions: i). The air filter changes are effective. ii). The air filter changes are not effective. iii). The air filter changes might not be effective. Which of the three conclusions is best if    is not rejected?</strong> A) ii B) i C) iii <div style=padding-top: 35px>
Consider these possible conclusions:
i). The air filter changes are effective.
ii). The air filter changes are not effective.
iii). The air filter changes might not be effective.
Which of the three conclusions is best if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 27 miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let    be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   versus   Consider these possible conclusions: i). The air filter changes are effective. ii). The air filter changes are not effective. iii). The air filter changes might not be effective. Which of the three conclusions is best if    is not rejected?</strong> A) ii B) i C) iii <div style=padding-top: 35px> is not rejected?

A) ii
B) i
C) iii
Question
A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 27 miles per gallon (mpg). A random sample of 43 cars are selected and the air filter of each is replaced with a new one. Let <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 27 miles per gallon (mpg). A random sample of 43 cars are selected and the air filter of each is replaced with a new one. Let   be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   Assume that the air filter changes are effective. Which type of error is impossible?</strong> A) Type II B) Type I <div style=padding-top: 35px> be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 27 miles per gallon (mpg). A random sample of 43 cars are selected and the air filter of each is replaced with a new one. Let   be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   Assume that the air filter changes are effective. Which type of error is impossible?</strong> A) Type II B) Type I <div style=padding-top: 35px> A test is made of <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 27 miles per gallon (mpg). A random sample of 43 cars are selected and the air filter of each is replaced with a new one. Let   be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   Assume that the air filter changes are effective. Which type of error is impossible?</strong> A) Type II B) Type I <div style=padding-top: 35px>
Assume that the air filter changes are effective. Which type of error is impossible?

A) Type II
B) Type I
Question
A test is made of <strong>A test is made of    A sample of size  n=66  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the   level.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> A sample of size n=66 is drawn, and <strong>A test is made of    A sample of size  n=66  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the   level.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> The population standard deviation is <strong>A test is made of    A sample of size  n=66  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the   level.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> Compute the value of the test statistic z and determine if <strong>A test is made of    A sample of size  n=66  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the   level.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> is rejected at the <strong>A test is made of    A sample of size  n=66  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the   level.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> level.

A) <strong>A test is made of    A sample of size  n=66  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the   level.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>A test is made of    A sample of size  n=66  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the   level.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>A test is made of    A sample of size  n=66  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the   level.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>A test is made of    A sample of size  n=66  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the   level.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Determine whether the alternative hypothesis is left-tailed, right-tailed, or two-tailed. <strong>Determine whether the alternative hypothesis is left-tailed, right-tailed, or two-tailed.  </strong> A)left-tailed B)right-tailed C)two-tailed <div style=padding-top: 35px>

A)left-tailed
B)right-tailed
C)two-tailed
Question
A sample of 50 chewable vitamin tablets have a sample mean of 258 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the mean mass of vitamin C per tablet exceeds 260 milligrams. State the appropriate null and alternate hypotheses.

A) <strong>A sample of 50 chewable vitamin tablets have a sample mean of 258 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the mean mass of vitamin C per tablet exceeds 260 milligrams. State the appropriate null and alternate hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>A sample of 50 chewable vitamin tablets have a sample mean of 258 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the mean mass of vitamin C per tablet exceeds 260 milligrams. State the appropriate null and alternate hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>A sample of 50 chewable vitamin tablets have a sample mean of 258 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the mean mass of vitamin C per tablet exceeds 260 milligrams. State the appropriate null and alternate hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>A sample of 50 chewable vitamin tablets have a sample mean of 258 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the mean mass of vitamin C per tablet exceeds 260 milligrams. State the appropriate null and alternate hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24.7 miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of  24.7  miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let    be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if https://storage.examlex.com/TB34225555/ . A test is made of  versus   Consider these possible conclusions: i). The air filter changes are effective. ii). The air filter changes are not effective. iii). The air filter changes might not be successful. Which of the three conclusions is best if    is rejected?</strong> A) iii B) ii C) i <div style=padding-top: 35px> be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if https://storage.examlex.com/TB34225555/<strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of  24.7  miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let    be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if https://storage.examlex.com/TB34225555/ . A test is made of  versus   Consider these possible conclusions: i). The air filter changes are effective. ii). The air filter changes are not effective. iii). The air filter changes might not be successful. Which of the three conclusions is best if    is rejected?</strong> A) iii B) ii C) i <div style=padding-top: 35px> . A test is made of <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of  24.7  miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let    be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if https://storage.examlex.com/TB34225555/ . A test is made of  versus   Consider these possible conclusions: i). The air filter changes are effective. ii). The air filter changes are not effective. iii). The air filter changes might not be successful. Which of the three conclusions is best if    is rejected?</strong> A) iii B) ii C) i <div style=padding-top: 35px> versus <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of  24.7  miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let    be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if https://storage.examlex.com/TB34225555/ . A test is made of  versus   Consider these possible conclusions: i). The air filter changes are effective. ii). The air filter changes are not effective. iii). The air filter changes might not be successful. Which of the three conclusions is best if    is rejected?</strong> A) iii B) ii C) i <div style=padding-top: 35px>
Consider these possible conclusions:
i). The air filter changes are effective.
ii). The air filter changes are not effective.
iii). The air filter changes might not be successful.
Which of the three conclusions is best if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of  24.7  miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let    be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if https://storage.examlex.com/TB34225555/ . A test is made of  versus   Consider these possible conclusions: i). The air filter changes are effective. ii). The air filter changes are not effective. iii). The air filter changes might not be successful. Which of the three conclusions is best if    is rejected?</strong> A) iii B) ii C) i <div style=padding-top: 35px> is rejected?

A) iii
B) ii
C) i
Question
A test of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-2.19 . If the true value of   is 44 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type II error B) Type I error C) Correct decision <div style=padding-top: 35px> is performed using a significance level of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-2.19 . If the true value of   is 44 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type II error B) Type I error C) Correct decision <div style=padding-top: 35px> The value of the test statistic is z=-2.19 .
If the true value of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-2.19 . If the true value of   is 44 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type II error B) Type I error C) Correct decision <div style=padding-top: 35px> is 44 , does the conclusion result in a Type I error, a Type II error, or correct decision?

A) Type II error
B) Type I error
C) Correct decision
Question
If P=0.026 , which of the following is the best conclusion?

A) If <strong>If  P=0.026 , which of the following is the best conclusion?</strong> A) If   is true, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is  0.026 . B) The probability that   is false is  0.026 . C) The probability that   is true is  0.026 . D) If     is false, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is  0.026 . <div style=padding-top: 35px> is true, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is 0.026 .
B) The probability that <strong>If  P=0.026 , which of the following is the best conclusion?</strong> A) If   is true, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is  0.026 . B) The probability that   is false is  0.026 . C) The probability that   is true is  0.026 . D) If     is false, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is  0.026 . <div style=padding-top: 35px> is false is 0.026 .
C) The probability that <strong>If  P=0.026 , which of the following is the best conclusion?</strong> A) If   is true, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is  0.026 . B) The probability that   is false is  0.026 . C) The probability that   is true is  0.026 . D) If     is false, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is  0.026 . <div style=padding-top: 35px> is true is 0.026 .
D) If <strong>If  P=0.026 , which of the following is the best conclusion?</strong> A) If   is true, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is  0.026 . B) The probability that   is false is  0.026 . C) The probability that   is true is  0.026 . D) If     is false, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is  0.026 . <div style=padding-top: 35px> is false, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is 0.026 .
Question
A test of <strong>A test of   is performed using a significance level of   The  P -value is  0.062 . If the true value of   is 60 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type I error B) Correct decision C) Type II error <div style=padding-top: 35px> is performed using a significance level of <strong>A test of   is performed using a significance level of   The  P -value is  0.062 . If the true value of   is 60 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type I error B) Correct decision C) Type II error <div style=padding-top: 35px> The P -value is 0.062 .
If the true value of <strong>A test of   is performed using a significance level of   The  P -value is  0.062 . If the true value of   is 60 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type I error B) Correct decision C) Type II error <div style=padding-top: 35px> is 60 , does the conclusion result in a Type I error, a Type II error, or correct decision?

A) Type I error
B) Correct decision
C) Type II error
Question
<strong>  The following display from a TI-84 Plus calculator presents the results of a hypothesis test. What is the value of the test statistic?</strong> A)38.80 B)0.051470 C)1.947543 D)37 <div style=padding-top: 35px>
The following display from a TI-84 Plus calculator presents the results of a hypothesis test. What is the value of the test statistic?

A)38.80
B)0.051470
C)1.947543
D)37
Question
A test of <strong>A test of   is performed using a significance level of   The  P -value is  0.174 . If the true value of   is 56 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type I error B) Correct decision C) Type II error <div style=padding-top: 35px> is performed using a significance level of <strong>A test of   is performed using a significance level of   The  P -value is  0.174 . If the true value of   is 56 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type I error B) Correct decision C) Type II error <div style=padding-top: 35px> The P -value is 0.174 .
If the true value of <strong>A test of   is performed using a significance level of   The  P -value is  0.174 . If the true value of   is 56 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type I error B) Correct decision C) Type II error <div style=padding-top: 35px> is 56 , does the conclusion result in a Type I error, a Type II error, or correct decision?

A) Type I error
B) Correct decision
C) Type II error
Question
A test of <strong>A test of    is performed using a significance level of   The  P -value is  0.028 . If the true value of     is 41 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Correct decision B) Type II error C) Type I error <div style=padding-top: 35px> is performed using a significance level of <strong>A test of    is performed using a significance level of   The  P -value is  0.028 . If the true value of     is 41 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Correct decision B) Type II error C) Type I error <div style=padding-top: 35px> The P -value is 0.028 .
If the true value of <strong>A test of    is performed using a significance level of   The  P -value is  0.028 . If the true value of     is 41 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Correct decision B) Type II error C) Type I error <div style=padding-top: 35px> is 41 , does the conclusion result in a Type I error, a Type II error, or correct decision?

A) Correct decision
B) Type II error
C) Type I error
Question
A test of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-2.71 . Is   rejected?</strong> A) Yes B) It cannot be determined. C) No <div style=padding-top: 35px> is performed using a significance level of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-2.71 . Is   rejected?</strong> A) Yes B) It cannot be determined. C) No <div style=padding-top: 35px> The value of the test statistic is z=-2.71 . Is <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-2.71 . Is   rejected?</strong> A) Yes B) It cannot be determined. C) No <div style=padding-top: 35px> rejected?

A) Yes
B) It cannot be determined.
C) No
Question
The Golden Comet is a hybrid chicken that is prized for its high egg production The Golden Comet is a hybrid chicken that is prized for its high egg production   rate and gentle disposition. According to recent studies, the mean rate of egg<div style=padding-top: 35px> rate and gentle disposition. According to recent studies, the mean rate of egg
Question
The Golden Comet is a hybrid chicken that is prized for its high egg production rate and exhibit a mean egg-laying rate of 6.0 eggs/day. The Golden Comet is a hybrid chicken that is prized for its high egg production rate and exhibit a mean egg-laying rate of 6.0 eggs/day.  <div style=padding-top: 35px>
Question
Mercury is a heavy metal that can cause severe health problems in even small concentrations. Mercury is a heavy metal that can cause severe health problems in even small concentrations.  <div style=padding-top: 35px>
Question
A test of <strong>A test of    is performed using a significance level of   The value of the test statistic is  z=-2.02 . If the true value of   is 46 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Correct decision B) Type I error C) Type II error <div style=padding-top: 35px> is performed using a significance level of <strong>A test of    is performed using a significance level of   The value of the test statistic is  z=-2.02 . If the true value of   is 46 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Correct decision B) Type I error C) Type II error <div style=padding-top: 35px> The value of the test statistic is z=-2.02 .
If the true value of <strong>A test of    is performed using a significance level of   The value of the test statistic is  z=-2.02 . If the true value of   is 46 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Correct decision B) Type I error C) Type II error <div style=padding-top: 35px> is 46 , does the conclusion result in a Type I error, a Type II error, or correct decision?

A) Correct decision
B) Type I error
C) Type II error
Question
The Golden Comet is a hybrid chicken that is prized for its high egg production rate and seeds, and plants that the hens obtain as they range freely around the farm. Her hens
Exhibit a mean egg-laying rate of 6.8 eggs/day.
N The Golden Comet is a hybrid chicken that is prized for its high egg production rate and seeds, and plants that the hens obtain as they range freely around the farm. Her hens Exhibit a mean egg-laying rate of 6.8 eggs/day. N  <div style=padding-top: 35px>
Question
A test of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-1.85 . If the true value of    is 62 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Correct decision B) Type I error C) Type II error <div style=padding-top: 35px> is performed using a significance level of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-1.85 . If the true value of    is 62 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Correct decision B) Type I error C) Type II error <div style=padding-top: 35px> The value of the test statistic is z=-1.85 .
If the true value of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-1.85 . If the true value of    is 62 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Correct decision B) Type I error C) Type II error <div style=padding-top: 35px> is 62 , does the conclusion result in a Type I error, a Type II error, or correct decision?

A) Correct decision
B) Type I error
C) Type II error
Question
A test of <strong>A test of   is performed using a significance level of   The  P -value is  0.164 . Is   rejected?</strong> A) No B) Yes C) It cannot be determined. <div style=padding-top: 35px>
is performed using a significance level of <strong>A test of   is performed using a significance level of   The  P -value is  0.164 . Is   rejected?</strong> A) No B) Yes C) It cannot be determined. <div style=padding-top: 35px> The P -value is 0.164 . Is <strong>A test of   is performed using a significance level of   The  P -value is  0.164 . Is   rejected?</strong> A) No B) Yes C) It cannot be determined. <div style=padding-top: 35px> rejected?

A) No
B) Yes
C) It cannot be determined.
Question
A test of <strong>A test of    is performed using a significance level of   The  P -value is  0.194 . If the true value of   is 40 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type I error B) Type II error C) Correct decision <div style=padding-top: 35px> is performed using a significance level of <strong>A test of    is performed using a significance level of   The  P -value is  0.194 . If the true value of   is 40 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type I error B) Type II error C) Correct decision <div style=padding-top: 35px> The P -value is 0.194 .
If the true value of <strong>A test of    is performed using a significance level of   The  P -value is  0.194 . If the true value of   is 40 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type I error B) Type II error C) Correct decision <div style=padding-top: 35px> is 40 , does the conclusion result in a Type I error, a Type II error, or correct decision?

A) Type I error
B) Type II error
C) Correct decision
Question
A test of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-1.84 . If the true value of    is 55 does the conclusion result in a Type I error, a Type II error, or  \varepsilon  correct decision?</strong> A) Type II error B) Correct decision C) Type I error <div style=padding-top: 35px> is performed using a significance level of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-1.84 . If the true value of    is 55 does the conclusion result in a Type I error, a Type II error, or  \varepsilon  correct decision?</strong> A) Type II error B) Correct decision C) Type I error <div style=padding-top: 35px> The value of the test statistic is z=-1.84 .
If the true value of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-1.84 . If the true value of    is 55 does the conclusion result in a Type I error, a Type II error, or  \varepsilon  correct decision?</strong> A) Type II error B) Correct decision C) Type I error <div style=padding-top: 35px> is 55 does the conclusion result in a Type I error, a Type II error, or \varepsilon correct decision?

A) Type II error
B) Correct decision
C) Type I error
Question
A test of <strong>A test of   is performed using a significance level of   The  P -value is  0.009 . Is   rejected?</strong> A) Yes B) No C) It cannot be determined. <div style=padding-top: 35px>
is performed using a significance level of <strong>A test of   is performed using a significance level of   The  P -value is  0.009 . Is   rejected?</strong> A) Yes B) No C) It cannot be determined. <div style=padding-top: 35px> The P -value is 0.009 . Is <strong>A test of   is performed using a significance level of   The  P -value is  0.009 . Is   rejected?</strong> A) Yes B) No C) It cannot be determined. <div style=padding-top: 35px> rejected?

A) Yes
B) No
C) It cannot be determined.
Question
The following display from a TI-84 Plus calculator presents the results of a hypothesis test. ) The following display from a TI-84 Plus calculator presents the results of a hypothesis test. )  <div style=padding-top: 35px>
Question
At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 500 milliliters of water. The technician dispenses 49 samples of water and determines the volume of each sample. The 49 samples have a mean volume of <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 500 milliliters of water. The technician dispenses 49 samples of water and determines the volume of each sample. The 49 samples have a mean volume of   The machine is out of calibration if the mean volume differs from  500 mL. The technician wants to perform a hypothesis test to determine whether the machine is ou calibration. State the appropriate null and alternate hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
The machine is out of calibration if the mean volume differs from 500 mL.
The technician wants to perform a hypothesis test to determine whether the machine is ou calibration. State the appropriate null and alternate hypotheses.

A) <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 500 milliliters of water. The technician dispenses 49 samples of water and determines the volume of each sample. The 49 samples have a mean volume of   The machine is out of calibration if the mean volume differs from  500 mL. The technician wants to perform a hypothesis test to determine whether the machine is ou calibration. State the appropriate null and alternate hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 500 milliliters of water. The technician dispenses 49 samples of water and determines the volume of each sample. The 49 samples have a mean volume of   The machine is out of calibration if the mean volume differs from  500 mL. The technician wants to perform a hypothesis test to determine whether the machine is ou calibration. State the appropriate null and alternate hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 500 milliliters of water. The technician dispenses 49 samples of water and determines the volume of each sample. The 49 samples have a mean volume of   The machine is out of calibration if the mean volume differs from  500 mL. The technician wants to perform a hypothesis test to determine whether the machine is ou calibration. State the appropriate null and alternate hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 500 milliliters of water. The technician dispenses 49 samples of water and determines the volume of each sample. The 49 samples have a mean volume of   The machine is out of calibration if the mean volume differs from  500 mL. The technician wants to perform a hypothesis test to determine whether the machine is ou calibration. State the appropriate null and alternate hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
  te the<div style=padding-top: 35px> te the
Question
A sample of 41 students enroll in a program that claims to improve scores on the quantitative A sample of 41 students enroll in a program that claims to improve scores on the quantitative  <div style=padding-top: 35px>
Question
Thirty-seven members of a bowling league sign up for a program that claims to improve
Question
Find the critical values for the following values of the significance level <strong>Find the critical values for the following values of the significance level    sample size  n , and alternate hypothesis    </strong> A)  -1.645,1.645 B)  -2.228,2.228 C)  -2.201,2.201 D)  -1.812,1.812 <div style=padding-top: 35px> sample size n , and alternate hypothesis <strong>Find the critical values for the following values of the significance level    sample size  n , and alternate hypothesis    </strong> A)  -1.645,1.645 B)  -2.228,2.228 C)  -2.201,2.201 D)  -1.812,1.812 <div style=padding-top: 35px>
<strong>Find the critical values for the following values of the significance level    sample size  n , and alternate hypothesis    </strong> A)  -1.645,1.645 B)  -2.228,2.228 C)  -2.201,2.201 D)  -1.812,1.812 <div style=padding-top: 35px>

A) -1.645,1.645
B) -2.228,2.228
C) -2.201,2.201
D) -1.812,1.812
Question
The following output from MINITAB presents the results of a hypothesis test. ) The following output from MINITAB presents the results of a hypothesis test. )  <div style=padding-top: 35px>
Question
The following output from MINITAB presents the results of a hypothesis test. ) The following output from MINITAB presents the results of a hypothesis test. )  <div style=padding-top: 35px>
Question
A sample of 46 students enroll in a program that claims to improve scores on the quantitative A sample of 46 students enroll in a program that claims to improve scores on the quantitative  <div style=padding-top: 35px>
Question
<strong>  The following display from a TI-84 Plus calculator presents the results of a hypothesis test. What is the P-value?</strong> A)59.14 B)2.033924 C)57 D)0.041959 <div style=padding-top: 35px>
The following display from a TI-84 Plus calculator presents the results of a hypothesis test. What is the P-value?

A)59.14
B)2.033924
C)57
D)0.041959
Question
Use technology to find the P -value for the following values of the test statistic t , sample size n , and alternate hypothesis <strong>Use technology to find the  P -value for the following values of the test statistic  t , sample size  n , and alternate hypothesis    </strong> A)  0.0930 B)  0.0578 C)  0.1156 D)  0.0465 <div style=padding-top: 35px>
<strong>Use technology to find the  P -value for the following values of the test statistic  t , sample size  n , and alternate hypothesis    </strong> A)  0.0930 B)  0.0578 C)  0.1156 D)  0.0465 <div style=padding-top: 35px>

A) 0.0930
B) 0.0578
C) 0.1156
D) 0.0465
Question
The following display from a TI-84 Plus calculator presents the results of a hypothesis test. ) The following display from a TI-84 Plus calculator presents the results of a hypothesis test. )  <div style=padding-top: 35px>
Question
Use technology to find the P -value for the following values of the test statistic t , sample size n , and alternate hypothesis <strong>Use technology to find the  P -value for the following values of the test statistic  t , sample size  n , and alternate hypothesis    </strong> A)  0.0428 B)  0.0214 C)  0.0462 D)  0.0231 <div style=padding-top: 35px>
<strong>Use technology to find the  P -value for the following values of the test statistic  t , sample size  n , and alternate hypothesis    </strong> A)  0.0428 B)  0.0214 C)  0.0462 D)  0.0231 <div style=padding-top: 35px>

A) 0.0428
B) 0.0214
C) 0.0462
D) 0.0231
Question
The mean annual tuition and fees for a sample of 15 private colleges was $35,500 with astandard deviation of $6500. ) The mean annual tuition and fees for a sample of 15 private colleges was $35,500 with astandard deviation of $6500. )  <div style=padding-top: 35px>
Question
Forty-five members of a bowling league sign up for a program that claims to improve Forty-five members of a bowling league sign up for a program that claims to improve  <div style=padding-top: 35px>
Question
The following output from MINITAB presents the results of a hypothesis test. ) The following output from MINITAB presents the results of a hypothesis test. )  <div style=padding-top: 35px>
Question
A sample of 37 students enroll in a program that claims to improve scores on the
Question
Forty-two members of a bowling league sign up for a program that claims to improve Forty-two members of a bowling league sign up for a program that claims to improve  <div style=padding-top: 35px>
Question
The following output from MINITAB presents the results of a hypothesis test. ) The following output from MINITAB presents the results of a hypothesis test. )  <div style=padding-top: 35px>
Question
Fifty members of a bowling league sign up for a program that claims to improve bowling scores. Fifty members of a bowling league sign up for a program that claims to improve bowling scores.  <div style=padding-top: 35px>
Question
Find the critical value for the following values of the significance level <strong>Find the critical value for the following values of the significance level   sample size  n , and alternate hypothesis    </strong> A)  -4.032 B)  -3.143 C)  -2.326 D)  -3.365 <div style=padding-top: 35px> sample size n , and alternate hypothesis <strong>Find the critical value for the following values of the significance level   sample size  n , and alternate hypothesis    </strong> A)  -4.032 B)  -3.143 C)  -2.326 D)  -3.365 <div style=padding-top: 35px>
<strong>Find the critical value for the following values of the significance level   sample size  n , and alternate hypothesis    </strong> A)  -4.032 B)  -3.143 C)  -2.326 D)  -3.365 <div style=padding-top: 35px>

A) -4.032
B) -3.143
C) -2.326
D) -3.365
Question
The mean annual tuition and fees for a sample of 9 private colleges was $30,100 with astandard deviation of $5500. A dotplot shows that it is reasonable to assume that thepopulation is approximately normal. You wish to test whether the mean tuition and feesfor private colleges is different from $33,000.Compute the value of the test statistic and state the number of degrees of freedom.

A)-0.527; 9 degrees of freedom
B)-0.527; 8 degrees of freedom
C)-1.582; 9 degrees of freedom
D)-1.582; 8 degrees of freedom
Question
A sample of 40 students enroll in a program that claims to improve scores on the quantitative A sample of 40 students enroll in a program that claims to improve scores on the quantitative  <div style=padding-top: 35px>
Question
The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     Do you reject   at the   level of significance?</strong> A) No B) Yes <div style=padding-top: 35px>
<strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     Do you reject   at the   level of significance?</strong> A) No B) Yes <div style=padding-top: 35px>
Do you reject <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     Do you reject   at the   level of significance?</strong> A) No B) Yes <div style=padding-top: 35px> at the <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     Do you reject   at the   level of significance?</strong> A) No B) Yes <div style=padding-top: 35px> level of significance?

A) No
B) Yes
Question
A random sample of size 16 from a normal distribution has standard deviation s=32 .
Test <strong>A random sample of size 16 from a normal distribution has standard deviation  s=32 . Test   Use the   level of significance.</strong> A) Do not reject   B) Reject   <div style=padding-top: 35px>
Use the <strong>A random sample of size 16 from a normal distribution has standard deviation  s=32 . Test   Use the   level of significance.</strong> A) Do not reject   B) Reject   <div style=padding-top: 35px>
level of significance.

A) Do not reject <strong>A random sample of size 16 from a normal distribution has standard deviation  s=32 . Test   Use the   level of significance.</strong> A) Do not reject   B) Reject   <div style=padding-top: 35px>
B) Reject <strong>A random sample of size 16 from a normal distribution has standard deviation  s=32 . Test   Use the   level of significance.</strong> A) Do not reject   B) Reject   <div style=padding-top: 35px>
Question
The mean annual tuition and fees for a sample of 12 private colleges was $39,200with a standard deviation of $4300. A dotplot shows that it is reasonable toassume that the population is approximately normal. You wish to test whether themean tuition and fees for private colleges is different from $35,500.
Question
The following display from a TI-84 Plus calculator presents the results of a hypothesis The following display from a TI-84 Plus calculator presents the results of a hypothesis  <div style=padding-top: 35px>
Question
The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     State the null and alternate hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
<strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     State the null and alternate hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
State the null and alternate hypotheses.

A) <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     State the null and alternate hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     State the null and alternate hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     State the null and alternate hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     State the null and alternate hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
<strong>  1 What is the value of s?</strong> A)9.4 B)0.554568 C)3.881977 D)0.000011 <div style=padding-top: 35px> 1 What is the value of s?

A)9.4
B)0.554568
C)3.881977
D)0.000011
Question
The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     What is the value of   </strong> A)  -0.283139 B) 40 C)  0.389120 D)  39.92 <div style=padding-top: 35px>
<strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     What is the value of   </strong> A)  -0.283139 B) 40 C)  0.389120 D)  39.92 <div style=padding-top: 35px>
What is the value of <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     What is the value of   </strong> A)  -0.283139 B) 40 C)  0.389120 D)  39.92 <div style=padding-top: 35px>

A) -0.283139
B) 40
C) 0.389120
D) 39.92
Question
Historically, a certain region has experienced 68 thunder days annually. (A "thunder day"is day on which at least one instance of thunder is audible to a normal human ear). Overthe past seven years, the mean number of thunder days is 58 with a standard deviation of26. Can you conclude that the mean number of thunder days is less than 68? Use the = 0.10 level of significance.

A)There is not enough information to draw a conclusion.
B)No. There is insufficient evidence to conclude that the number of thunder days is lessthan 68.
C)Yes. The number of thunder days appears to be less than 68.
Question
A machine that fills beverage cans is supposed to put 16 ounces of beverage in each can.Following are the amounts measured in a simple random sample of eight cans. ) A machine that fills beverage cans is supposed to put 16 ounces of beverage in each can.Following are the amounts measured in a simple random sample of eight cans. )  <div style=padding-top: 35px>
Question
The following display from a TI-84 Plus calculator presents the results of a hypothesis The following display from a TI-84 Plus calculator presents the results of a hypothesis  <div style=padding-top: 35px>
Question
In a simple random sample of size 73, there were 44 individuals in the category of interest. It is desired to test <strong>In a simple random sample of size 73, there were 44 individuals in the category of interest. It is desired to test   versus   Compute the test statistic  z .</strong> A)  0.60 B)  -3.65 C)  0.05 D)  8.68 <div style=padding-top: 35px>
versus <strong>In a simple random sample of size 73, there were 44 individuals in the category of interest. It is desired to test   versus   Compute the test statistic  z .</strong> A)  0.60 B)  -3.65 C)  0.05 D)  8.68 <div style=padding-top: 35px>
Compute the test statistic z .

A) 0.60
B) -3.65
C) 0.05
D) 8.68
Question
The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean
<strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     How many degrees of freedom are there?</strong> A) 51 B) 33 C) 50 D) 52 <div style=padding-top: 35px>
<strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     How many degrees of freedom are there?</strong> A) 51 B) 33 C) 50 D) 52 <div style=padding-top: 35px>
How many degrees of freedom are there?

A) 51
B) 33
C) 50
D) 52
Question
The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     What is the value of  s ? </strong> A)  0.55832 B)  0.016605 C)  -2.182483 D)  30.84 <div style=padding-top: 35px>
<strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     What is the value of  s ? </strong> A)  0.55832 B)  0.016605 C)  -2.182483 D)  30.84 <div style=padding-top: 35px>
What is the value of s ?

A) 0.55832
B) 0.016605
C) -2.182483
D) 30.84
Question
  1<div style=padding-top: 35px> 1
Question
In a simple random sample of size 77 , there were 37 individuals in the category of interest. Compute the sample proportion <strong>In a simple random sample of size 77 , there were 37 individuals in the category of interest. Compute the sample proportion  </strong> A)  0.481 B)  0.519 C) 114 D)  0.925 <div style=padding-top: 35px>

A) 0.481
B) 0.519
C) 114
D) 0.925
Question
In a simple random sample of size 95 , there were 66 individuals in the category of interest. It is desired to test <strong>In a simple random sample of size 95 , there were 66 individuals in the category of interest. It is desired to test    0.05  level? versus   Do you reject   at the</strong> A) Yes B) No <div style=padding-top: 35px> 0.05 level?
versus <strong>In a simple random sample of size 95 , there were 66 individuals in the category of interest. It is desired to test    0.05  level? versus   Do you reject   at the</strong> A) Yes B) No <div style=padding-top: 35px>
Do you reject <strong>In a simple random sample of size 95 , there were 66 individuals in the category of interest. It is desired to test    0.05  level? versus   Do you reject   at the</strong> A) Yes B) No <div style=padding-top: 35px> at the

A) Yes
B) No
Question
  3<div style=padding-top: 35px> 3
Question
<strong>  5 How many degrees of freedom are there?</strong> A)53 B)32 C)55 D)54 <div style=padding-top: 35px> 5 How many degrees of freedom are there?

A)53
B)32
C)55
D)54
Question
  6<div style=padding-top: 35px> 6
Question
The mean annual tuition and fees for a sample of 11 private colleges was $34,100 with astandard deviation of $5400 A dotplot shows that it is reasonable to assume that thepopulation is approximately normal. ) The mean annual tuition and fees for a sample of 11 private colleges was $34,100 with astandard deviation of $5400 A dotplot shows that it is reasonable to assume that thepopulation is approximately normal. )  <div style=padding-top: 35px>
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Deck 9: Inferences on Two Samples
1
A garden supplier claims that its new variety of giant tomato produces fruit with an mean weight of 45 ounces. A test is made of <strong>A garden supplier claims that its new variety of giant tomato produces fruit with an mean weight of 45 ounces. A test is made of    The null hypothesis is rejected. State the appropriate conclusion.</strong> A) There is not enough evidence to conclude that the mean weight differs from 45 ounces. B) The mean weight is not equal to 45 ounces. C) There is not enough evidence to conclude that the mean weight is 45 ounces. D) The mean weight is equal to 45 ounces.

The null hypothesis
is rejected. State the appropriate conclusion.

A) There is not enough evidence to conclude that the mean weight differs from 45 ounces.
B) The mean weight is not equal to 45 ounces.
C) There is not enough evidence to conclude that the mean weight is 45 ounces.
D) The mean weight is equal to 45 ounces.
The mean weight is not equal to 45 ounces.
2
A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 25.6 miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of  25.6  miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let     be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   Assume that the air filter changes are effective but the conclusion is reached that the chan might not be effective. Which type of error, of any, has occurred?</strong> A) No error - correct decision B) Type I C) Mechanical failure D) Type II be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of  25.6  miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let     be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   Assume that the air filter changes are effective but the conclusion is reached that the chan might not be effective. Which type of error, of any, has occurred?</strong> A) No error - correct decision B) Type I C) Mechanical failure D) Type II
A test is made of <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of  25.6  miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let     be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   Assume that the air filter changes are effective but the conclusion is reached that the chan might not be effective. Which type of error, of any, has occurred?</strong> A) No error - correct decision B) Type I C) Mechanical failure D) Type II
Assume that the air filter changes are effective but the conclusion is reached that the chan might not be effective. Which type of error, of any, has occurred?

A) No error - correct decision
B) Type I
C) Mechanical failure
D) Type II
Type II
3
C
4
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5
A garden supplier claims that its new variety of giant tomato produces fruit with an mean weight of 44 ounces. A test is made of <strong>A garden supplier claims that its new variety of giant tomato produces fruit with an mean weight of 44 ounces. A test is made of    The null hypothesis is not rejected. State the appropriate conclusion.</strong> A) There is not enough evidence to conclude that the mean weight differs from 44 ounces. B) The mean weight is equal to 44 ounces. C) There is not enough evidence to conclude that the mean weight is 44 ounces. D) The mean weight is not equal to 44 ounces.

The null hypothesis
is not rejected. State the appropriate conclusion.

A) There is not enough evidence to conclude that the mean weight differs from 44 ounces.
B) The mean weight is equal to 44 ounces.
C) There is not enough evidence to conclude that the mean weight is 44 ounces.
D) The mean weight is not equal to 44 ounces.
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6
A sample of 75 chewable vitamin tablets have a sample mean of 251 milligrams ofvitamin C. ) A sample of 75 chewable vitamin tablets have a sample mean of 251 milligrams ofvitamin C. )
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7
A new organic pest control formula is being tested on potato plants to see whether it can reduce the level of potato beetle infestation. The mean number of beetles per untreated plant is 5 . It is hoped that the new formula may reduce this infestation rate. State the appropriate null and alternate hypotheses.

A) <strong>A new organic pest control formula is being tested on potato plants to see whether it can reduce the level of potato beetle infestation. The mean number of beetles per untreated plant is 5 . It is hoped that the new formula may reduce this infestation rate. State the appropriate null and alternate hypotheses.</strong> A)   B).   C)   D)
B). <strong>A new organic pest control formula is being tested on potato plants to see whether it can reduce the level of potato beetle infestation. The mean number of beetles per untreated plant is 5 . It is hoped that the new formula may reduce this infestation rate. State the appropriate null and alternate hypotheses.</strong> A)   B).   C)   D)
C) <strong>A new organic pest control formula is being tested on potato plants to see whether it can reduce the level of potato beetle infestation. The mean number of beetles per untreated plant is 5 . It is hoped that the new formula may reduce this infestation rate. State the appropriate null and alternate hypotheses.</strong> A)   B).   C)   D)
D) <strong>A new organic pest control formula is being tested on potato plants to see whether it can reduce the level of potato beetle infestation. The mean number of beetles per untreated plant is 5 . It is hoped that the new formula may reduce this infestation rate. State the appropriate null and alternate hypotheses.</strong> A)   B).   C)   D)
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8
A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24 miles per gallon (mpg). A random sample of 60 cars are selected and the air filter of each is replaced with a new one. Let <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24 miles per gallon (mpg). A random sample of 60 cars are selected and the air filter of each is replaced with a new one. Let   be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   Assume that the air filter changes are not effective. Which type of error is impossible?</strong> A) Type I B) Type II be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24 miles per gallon (mpg). A random sample of 60 cars are selected and the air filter of each is replaced with a new one. Let   be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   Assume that the air filter changes are not effective. Which type of error is impossible?</strong> A) Type I B) Type II A test is made of <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24 miles per gallon (mpg). A random sample of 60 cars are selected and the air filter of each is replaced with a new one. Let   be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   Assume that the air filter changes are not effective. Which type of error is impossible?</strong> A) Type I B) Type II
Assume that the air filter changes are not effective. Which type of error is impossible?

A) Type I
B) Type II
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9
Determine whether the outcome is a Type I error, a Type II error, or a correct decision.
A test is made of <strong>Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of   versus   The true value of     is 18 and   not rejected.</strong> A) Type II error B) Type I error C) Correct decision versus <strong>Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of   versus   The true value of     is 18 and   not rejected.</strong> A) Type II error B) Type I error C) Correct decision The true value of <strong>Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of   versus   The true value of     is 18 and   not rejected.</strong> A) Type II error B) Type I error C) Correct decision is 18 and <strong>Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of   versus   The true value of     is 18 and   not rejected.</strong> A) Type II error B) Type I error C) Correct decision
not rejected.

A) Type II error
B) Type I error
C) Correct decision
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10
A test is made of <strong>A test is made of     The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the  </strong> A)   B)   C)   D)
<strong>A test is made of     The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the  </strong> A)   B)   C)   D)   The population standard deviation is <strong>A test is made of     The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the  </strong> A)   B)   C)   D)   Compute the value of the test
statistic z and determine if <strong>A test is made of     The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the  </strong> A)   B)   C)   D)   is rejected at the <strong>A test is made of     The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the  </strong> A)   B)   C)   D)

A) <strong>A test is made of     The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the  </strong> A)   B)   C)   D)
B) <strong>A test is made of     The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the  </strong> A)   B)   C)   D)
C) <strong>A test is made of     The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the  </strong> A)   B)   C)   D)
D) <strong>A test is made of     The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the  </strong> A)   B)   C)   D)
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11
A test of <strong>A test of   is performed using a significance level of   The value of the test statistic is   rejected?</strong> A) Yes B) No C) It cannot be determined. is performed using a significance level of <strong>A test of   is performed using a significance level of   The value of the test statistic is   rejected?</strong> A) Yes B) No C) It cannot be determined. The value of the test statistic is <strong>A test of   is performed using a significance level of   The value of the test statistic is   rejected?</strong> A) Yes B) No C) It cannot be determined. rejected?

A) Yes
B) No
C) It cannot be determined.
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12
A test is made of <strong>A test is made of   A sample of size  n=72  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z .</strong> A)  0.04 B)  1.63 C)  0.62 D)  0.31
A sample of size n=72 is drawn, and <strong>A test is made of   A sample of size  n=72  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z .</strong> A)  0.04 B)  1.63 C)  0.62 D)  0.31 The population standard deviation is <strong>A test is made of   A sample of size  n=72  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z .</strong> A)  0.04 B)  1.63 C)  0.62 D)  0.31 Compute the value of the test statistic z .

A) 0.04
B) 1.63
C) 0.62
D) 0.31
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13
Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of <strong>Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of   versus   The true value of   is 5 and   is rejected.</strong> A) Type I error B) Correct decision C) Type II error versus <strong>Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of   versus   The true value of   is 5 and   is rejected.</strong> A) Type I error B) Correct decision C) Type II error The true value of <strong>Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of   versus   The true value of   is 5 and   is rejected.</strong> A) Type I error B) Correct decision C) Type II error is 5 and <strong>Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of   versus   The true value of   is 5 and   is rejected.</strong> A) Type I error B) Correct decision C) Type II error is rejected.

A) Type I error
B) Correct decision
C) Type II error
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14
A test is made of <strong>A test is made of   A sample of size  n=68  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z .</strong> A)  -1.84 B)  -0.05 C)  -0.41 D)  0.34
A sample of size n=68 is drawn, and <strong>A test is made of   A sample of size  n=68  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z .</strong> A)  -1.84 B)  -0.05 C)  -0.41 D)  0.34 The population standard deviation is <strong>A test is made of   A sample of size  n=68  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z .</strong> A)  -1.84 B)  -0.05 C)  -0.41 D)  0.34 Compute the value of the test statistic z .

A) -1.84
B) -0.05
C) -0.41
D) 0.34
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15
A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 27 miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 27 miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let    be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   versus   Consider these possible conclusions: i). The air filter changes are effective. ii). The air filter changes are not effective. iii). The air filter changes might not be effective. Which of the three conclusions is best if    is not rejected?</strong> A) ii B) i C) iii be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 27 miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let    be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   versus   Consider these possible conclusions: i). The air filter changes are effective. ii). The air filter changes are not effective. iii). The air filter changes might not be effective. Which of the three conclusions is best if    is not rejected?</strong> A) ii B) i C) iii A test is made of <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 27 miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let    be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   versus   Consider these possible conclusions: i). The air filter changes are effective. ii). The air filter changes are not effective. iii). The air filter changes might not be effective. Which of the three conclusions is best if    is not rejected?</strong> A) ii B) i C) iii versus <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 27 miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let    be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   versus   Consider these possible conclusions: i). The air filter changes are effective. ii). The air filter changes are not effective. iii). The air filter changes might not be effective. Which of the three conclusions is best if    is not rejected?</strong> A) ii B) i C) iii
Consider these possible conclusions:
i). The air filter changes are effective.
ii). The air filter changes are not effective.
iii). The air filter changes might not be effective.
Which of the three conclusions is best if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 27 miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let    be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   versus   Consider these possible conclusions: i). The air filter changes are effective. ii). The air filter changes are not effective. iii). The air filter changes might not be effective. Which of the three conclusions is best if    is not rejected?</strong> A) ii B) i C) iii is not rejected?

A) ii
B) i
C) iii
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16
A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 27 miles per gallon (mpg). A random sample of 43 cars are selected and the air filter of each is replaced with a new one. Let <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 27 miles per gallon (mpg). A random sample of 43 cars are selected and the air filter of each is replaced with a new one. Let   be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   Assume that the air filter changes are effective. Which type of error is impossible?</strong> A) Type II B) Type I be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 27 miles per gallon (mpg). A random sample of 43 cars are selected and the air filter of each is replaced with a new one. Let   be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   Assume that the air filter changes are effective. Which type of error is impossible?</strong> A) Type II B) Type I A test is made of <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 27 miles per gallon (mpg). A random sample of 43 cars are selected and the air filter of each is replaced with a new one. Let   be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if   A test is made of   Assume that the air filter changes are effective. Which type of error is impossible?</strong> A) Type II B) Type I
Assume that the air filter changes are effective. Which type of error is impossible?

A) Type II
B) Type I
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17
A test is made of <strong>A test is made of    A sample of size  n=66  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the   level.</strong> A)   B)   C)   D)   A sample of size n=66 is drawn, and <strong>A test is made of    A sample of size  n=66  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the   level.</strong> A)   B)   C)   D)   The population standard deviation is <strong>A test is made of    A sample of size  n=66  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the   level.</strong> A)   B)   C)   D)   Compute the value of the test statistic z and determine if <strong>A test is made of    A sample of size  n=66  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the   level.</strong> A)   B)   C)   D)   is rejected at the <strong>A test is made of    A sample of size  n=66  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the   level.</strong> A)   B)   C)   D)   level.

A) <strong>A test is made of    A sample of size  n=66  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the   level.</strong> A)   B)   C)   D)
B) <strong>A test is made of    A sample of size  n=66  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the   level.</strong> A)   B)   C)   D)
C) <strong>A test is made of    A sample of size  n=66  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the   level.</strong> A)   B)   C)   D)
D) <strong>A test is made of    A sample of size  n=66  is drawn, and   The population standard deviation is   Compute the value of the test statistic  z  and determine if   is rejected at the   level.</strong> A)   B)   C)   D)
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18
Determine whether the alternative hypothesis is left-tailed, right-tailed, or two-tailed. <strong>Determine whether the alternative hypothesis is left-tailed, right-tailed, or two-tailed.  </strong> A)left-tailed B)right-tailed C)two-tailed

A)left-tailed
B)right-tailed
C)two-tailed
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19
A sample of 50 chewable vitamin tablets have a sample mean of 258 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the mean mass of vitamin C per tablet exceeds 260 milligrams. State the appropriate null and alternate hypotheses.

A) <strong>A sample of 50 chewable vitamin tablets have a sample mean of 258 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the mean mass of vitamin C per tablet exceeds 260 milligrams. State the appropriate null and alternate hypotheses.</strong> A)   B)   C)   D)
B) <strong>A sample of 50 chewable vitamin tablets have a sample mean of 258 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the mean mass of vitamin C per tablet exceeds 260 milligrams. State the appropriate null and alternate hypotheses.</strong> A)   B)   C)   D)
C) <strong>A sample of 50 chewable vitamin tablets have a sample mean of 258 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the mean mass of vitamin C per tablet exceeds 260 milligrams. State the appropriate null and alternate hypotheses.</strong> A)   B)   C)   D)
D) <strong>A sample of 50 chewable vitamin tablets have a sample mean of 258 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the mean mass of vitamin C per tablet exceeds 260 milligrams. State the appropriate null and alternate hypotheses.</strong> A)   B)   C)   D)
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20
A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24.7 miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of  24.7  miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let    be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if https://storage.examlex.com/TB34225555/ . A test is made of  versus   Consider these possible conclusions: i). The air filter changes are effective. ii). The air filter changes are not effective. iii). The air filter changes might not be successful. Which of the three conclusions is best if    is rejected?</strong> A) iii B) ii C) i be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if https://storage.examlex.com/TB34225555/<strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of  24.7  miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let    be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if https://storage.examlex.com/TB34225555/ . A test is made of  versus   Consider these possible conclusions: i). The air filter changes are effective. ii). The air filter changes are not effective. iii). The air filter changes might not be successful. Which of the three conclusions is best if    is rejected?</strong> A) iii B) ii C) i . A test is made of <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of  24.7  miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let    be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if https://storage.examlex.com/TB34225555/ . A test is made of  versus   Consider these possible conclusions: i). The air filter changes are effective. ii). The air filter changes are not effective. iii). The air filter changes might not be successful. Which of the three conclusions is best if    is rejected?</strong> A) iii B) ii C) i versus <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of  24.7  miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let    be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if https://storage.examlex.com/TB34225555/ . A test is made of  versus   Consider these possible conclusions: i). The air filter changes are effective. ii). The air filter changes are not effective. iii). The air filter changes might not be successful. Which of the three conclusions is best if    is rejected?</strong> A) iii B) ii C) i
Consider these possible conclusions:
i). The air filter changes are effective.
ii). The air filter changes are not effective.
iii). The air filter changes might not be successful.
Which of the three conclusions is best if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of  24.7  miles per gallon (mpg). A random sample of 54 cars are selected and the air filter of each is replaced with a new one. Let    be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if https://storage.examlex.com/TB34225555/ . A test is made of  versus   Consider these possible conclusions: i). The air filter changes are effective. ii). The air filter changes are not effective. iii). The air filter changes might not be successful. Which of the three conclusions is best if    is rejected?</strong> A) iii B) ii C) i is rejected?

A) iii
B) ii
C) i
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21
A test of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-2.19 . If the true value of   is 44 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type II error B) Type I error C) Correct decision is performed using a significance level of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-2.19 . If the true value of   is 44 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type II error B) Type I error C) Correct decision The value of the test statistic is z=-2.19 .
If the true value of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-2.19 . If the true value of   is 44 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type II error B) Type I error C) Correct decision is 44 , does the conclusion result in a Type I error, a Type II error, or correct decision?

A) Type II error
B) Type I error
C) Correct decision
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22
If P=0.026 , which of the following is the best conclusion?

A) If <strong>If  P=0.026 , which of the following is the best conclusion?</strong> A) If   is true, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is  0.026 . B) The probability that   is false is  0.026 . C) The probability that   is true is  0.026 . D) If     is false, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is  0.026 . is true, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is 0.026 .
B) The probability that <strong>If  P=0.026 , which of the following is the best conclusion?</strong> A) If   is true, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is  0.026 . B) The probability that   is false is  0.026 . C) The probability that   is true is  0.026 . D) If     is false, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is  0.026 . is false is 0.026 .
C) The probability that <strong>If  P=0.026 , which of the following is the best conclusion?</strong> A) If   is true, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is  0.026 . B) The probability that   is false is  0.026 . C) The probability that   is true is  0.026 . D) If     is false, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is  0.026 . is true is 0.026 .
D) If <strong>If  P=0.026 , which of the following is the best conclusion?</strong> A) If   is true, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is  0.026 . B) The probability that   is false is  0.026 . C) The probability that   is true is  0.026 . D) If     is false, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is  0.026 . is false, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is 0.026 .
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23
A test of <strong>A test of   is performed using a significance level of   The  P -value is  0.062 . If the true value of   is 60 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type I error B) Correct decision C) Type II error is performed using a significance level of <strong>A test of   is performed using a significance level of   The  P -value is  0.062 . If the true value of   is 60 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type I error B) Correct decision C) Type II error The P -value is 0.062 .
If the true value of <strong>A test of   is performed using a significance level of   The  P -value is  0.062 . If the true value of   is 60 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type I error B) Correct decision C) Type II error is 60 , does the conclusion result in a Type I error, a Type II error, or correct decision?

A) Type I error
B) Correct decision
C) Type II error
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24
<strong>  The following display from a TI-84 Plus calculator presents the results of a hypothesis test. What is the value of the test statistic?</strong> A)38.80 B)0.051470 C)1.947543 D)37
The following display from a TI-84 Plus calculator presents the results of a hypothesis test. What is the value of the test statistic?

A)38.80
B)0.051470
C)1.947543
D)37
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25
A test of <strong>A test of   is performed using a significance level of   The  P -value is  0.174 . If the true value of   is 56 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type I error B) Correct decision C) Type II error is performed using a significance level of <strong>A test of   is performed using a significance level of   The  P -value is  0.174 . If the true value of   is 56 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type I error B) Correct decision C) Type II error The P -value is 0.174 .
If the true value of <strong>A test of   is performed using a significance level of   The  P -value is  0.174 . If the true value of   is 56 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type I error B) Correct decision C) Type II error is 56 , does the conclusion result in a Type I error, a Type II error, or correct decision?

A) Type I error
B) Correct decision
C) Type II error
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26
A test of <strong>A test of    is performed using a significance level of   The  P -value is  0.028 . If the true value of     is 41 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Correct decision B) Type II error C) Type I error is performed using a significance level of <strong>A test of    is performed using a significance level of   The  P -value is  0.028 . If the true value of     is 41 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Correct decision B) Type II error C) Type I error The P -value is 0.028 .
If the true value of <strong>A test of    is performed using a significance level of   The  P -value is  0.028 . If the true value of     is 41 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Correct decision B) Type II error C) Type I error is 41 , does the conclusion result in a Type I error, a Type II error, or correct decision?

A) Correct decision
B) Type II error
C) Type I error
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27
A test of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-2.71 . Is   rejected?</strong> A) Yes B) It cannot be determined. C) No is performed using a significance level of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-2.71 . Is   rejected?</strong> A) Yes B) It cannot be determined. C) No The value of the test statistic is z=-2.71 . Is <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-2.71 . Is   rejected?</strong> A) Yes B) It cannot be determined. C) No rejected?

A) Yes
B) It cannot be determined.
C) No
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28
The Golden Comet is a hybrid chicken that is prized for its high egg production The Golden Comet is a hybrid chicken that is prized for its high egg production   rate and gentle disposition. According to recent studies, the mean rate of egg rate and gentle disposition. According to recent studies, the mean rate of egg
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29
The Golden Comet is a hybrid chicken that is prized for its high egg production rate and exhibit a mean egg-laying rate of 6.0 eggs/day. The Golden Comet is a hybrid chicken that is prized for its high egg production rate and exhibit a mean egg-laying rate of 6.0 eggs/day.
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30
Mercury is a heavy metal that can cause severe health problems in even small concentrations. Mercury is a heavy metal that can cause severe health problems in even small concentrations.
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31
A test of <strong>A test of    is performed using a significance level of   The value of the test statistic is  z=-2.02 . If the true value of   is 46 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Correct decision B) Type I error C) Type II error is performed using a significance level of <strong>A test of    is performed using a significance level of   The value of the test statistic is  z=-2.02 . If the true value of   is 46 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Correct decision B) Type I error C) Type II error The value of the test statistic is z=-2.02 .
If the true value of <strong>A test of    is performed using a significance level of   The value of the test statistic is  z=-2.02 . If the true value of   is 46 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Correct decision B) Type I error C) Type II error is 46 , does the conclusion result in a Type I error, a Type II error, or correct decision?

A) Correct decision
B) Type I error
C) Type II error
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32
The Golden Comet is a hybrid chicken that is prized for its high egg production rate and seeds, and plants that the hens obtain as they range freely around the farm. Her hens
Exhibit a mean egg-laying rate of 6.8 eggs/day.
N The Golden Comet is a hybrid chicken that is prized for its high egg production rate and seeds, and plants that the hens obtain as they range freely around the farm. Her hens Exhibit a mean egg-laying rate of 6.8 eggs/day. N
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33
A test of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-1.85 . If the true value of    is 62 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Correct decision B) Type I error C) Type II error is performed using a significance level of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-1.85 . If the true value of    is 62 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Correct decision B) Type I error C) Type II error The value of the test statistic is z=-1.85 .
If the true value of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-1.85 . If the true value of    is 62 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Correct decision B) Type I error C) Type II error is 62 , does the conclusion result in a Type I error, a Type II error, or correct decision?

A) Correct decision
B) Type I error
C) Type II error
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34
A test of <strong>A test of   is performed using a significance level of   The  P -value is  0.164 . Is   rejected?</strong> A) No B) Yes C) It cannot be determined.
is performed using a significance level of <strong>A test of   is performed using a significance level of   The  P -value is  0.164 . Is   rejected?</strong> A) No B) Yes C) It cannot be determined. The P -value is 0.164 . Is <strong>A test of   is performed using a significance level of   The  P -value is  0.164 . Is   rejected?</strong> A) No B) Yes C) It cannot be determined. rejected?

A) No
B) Yes
C) It cannot be determined.
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35
A test of <strong>A test of    is performed using a significance level of   The  P -value is  0.194 . If the true value of   is 40 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type I error B) Type II error C) Correct decision is performed using a significance level of <strong>A test of    is performed using a significance level of   The  P -value is  0.194 . If the true value of   is 40 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type I error B) Type II error C) Correct decision The P -value is 0.194 .
If the true value of <strong>A test of    is performed using a significance level of   The  P -value is  0.194 . If the true value of   is 40 , does the conclusion result in a Type I error, a Type II error, or correct decision?</strong> A) Type I error B) Type II error C) Correct decision is 40 , does the conclusion result in a Type I error, a Type II error, or correct decision?

A) Type I error
B) Type II error
C) Correct decision
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36
A test of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-1.84 . If the true value of    is 55 does the conclusion result in a Type I error, a Type II error, or  \varepsilon  correct decision?</strong> A) Type II error B) Correct decision C) Type I error is performed using a significance level of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-1.84 . If the true value of    is 55 does the conclusion result in a Type I error, a Type II error, or  \varepsilon  correct decision?</strong> A) Type II error B) Correct decision C) Type I error The value of the test statistic is z=-1.84 .
If the true value of <strong>A test of   is performed using a significance level of   The value of the test statistic is  z=-1.84 . If the true value of    is 55 does the conclusion result in a Type I error, a Type II error, or  \varepsilon  correct decision?</strong> A) Type II error B) Correct decision C) Type I error is 55 does the conclusion result in a Type I error, a Type II error, or \varepsilon correct decision?

A) Type II error
B) Correct decision
C) Type I error
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37
A test of <strong>A test of   is performed using a significance level of   The  P -value is  0.009 . Is   rejected?</strong> A) Yes B) No C) It cannot be determined.
is performed using a significance level of <strong>A test of   is performed using a significance level of   The  P -value is  0.009 . Is   rejected?</strong> A) Yes B) No C) It cannot be determined. The P -value is 0.009 . Is <strong>A test of   is performed using a significance level of   The  P -value is  0.009 . Is   rejected?</strong> A) Yes B) No C) It cannot be determined. rejected?

A) Yes
B) No
C) It cannot be determined.
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38
The following display from a TI-84 Plus calculator presents the results of a hypothesis test. ) The following display from a TI-84 Plus calculator presents the results of a hypothesis test. )
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39
At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 500 milliliters of water. The technician dispenses 49 samples of water and determines the volume of each sample. The 49 samples have a mean volume of <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 500 milliliters of water. The technician dispenses 49 samples of water and determines the volume of each sample. The 49 samples have a mean volume of   The machine is out of calibration if the mean volume differs from  500 mL. The technician wants to perform a hypothesis test to determine whether the machine is ou calibration. State the appropriate null and alternate hypotheses.</strong> A)   B)   C)   D)
The machine is out of calibration if the mean volume differs from 500 mL.
The technician wants to perform a hypothesis test to determine whether the machine is ou calibration. State the appropriate null and alternate hypotheses.

A) <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 500 milliliters of water. The technician dispenses 49 samples of water and determines the volume of each sample. The 49 samples have a mean volume of   The machine is out of calibration if the mean volume differs from  500 mL. The technician wants to perform a hypothesis test to determine whether the machine is ou calibration. State the appropriate null and alternate hypotheses.</strong> A)   B)   C)   D)
B) <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 500 milliliters of water. The technician dispenses 49 samples of water and determines the volume of each sample. The 49 samples have a mean volume of   The machine is out of calibration if the mean volume differs from  500 mL. The technician wants to perform a hypothesis test to determine whether the machine is ou calibration. State the appropriate null and alternate hypotheses.</strong> A)   B)   C)   D)
C) <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 500 milliliters of water. The technician dispenses 49 samples of water and determines the volume of each sample. The 49 samples have a mean volume of   The machine is out of calibration if the mean volume differs from  500 mL. The technician wants to perform a hypothesis test to determine whether the machine is ou calibration. State the appropriate null and alternate hypotheses.</strong> A)   B)   C)   D)
D) <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 500 milliliters of water. The technician dispenses 49 samples of water and determines the volume of each sample. The 49 samples have a mean volume of   The machine is out of calibration if the mean volume differs from  500 mL. The technician wants to perform a hypothesis test to determine whether the machine is ou calibration. State the appropriate null and alternate hypotheses.</strong> A)   B)   C)   D)
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40
  te the te the
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41
A sample of 41 students enroll in a program that claims to improve scores on the quantitative A sample of 41 students enroll in a program that claims to improve scores on the quantitative
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42
Thirty-seven members of a bowling league sign up for a program that claims to improve
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43
Find the critical values for the following values of the significance level <strong>Find the critical values for the following values of the significance level    sample size  n , and alternate hypothesis    </strong> A)  -1.645,1.645 B)  -2.228,2.228 C)  -2.201,2.201 D)  -1.812,1.812 sample size n , and alternate hypothesis <strong>Find the critical values for the following values of the significance level    sample size  n , and alternate hypothesis    </strong> A)  -1.645,1.645 B)  -2.228,2.228 C)  -2.201,2.201 D)  -1.812,1.812
<strong>Find the critical values for the following values of the significance level    sample size  n , and alternate hypothesis    </strong> A)  -1.645,1.645 B)  -2.228,2.228 C)  -2.201,2.201 D)  -1.812,1.812

A) -1.645,1.645
B) -2.228,2.228
C) -2.201,2.201
D) -1.812,1.812
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44
The following output from MINITAB presents the results of a hypothesis test. ) The following output from MINITAB presents the results of a hypothesis test. )
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45
The following output from MINITAB presents the results of a hypothesis test. ) The following output from MINITAB presents the results of a hypothesis test. )
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46
A sample of 46 students enroll in a program that claims to improve scores on the quantitative A sample of 46 students enroll in a program that claims to improve scores on the quantitative
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47
<strong>  The following display from a TI-84 Plus calculator presents the results of a hypothesis test. What is the P-value?</strong> A)59.14 B)2.033924 C)57 D)0.041959
The following display from a TI-84 Plus calculator presents the results of a hypothesis test. What is the P-value?

A)59.14
B)2.033924
C)57
D)0.041959
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48
Use technology to find the P -value for the following values of the test statistic t , sample size n , and alternate hypothesis <strong>Use technology to find the  P -value for the following values of the test statistic  t , sample size  n , and alternate hypothesis    </strong> A)  0.0930 B)  0.0578 C)  0.1156 D)  0.0465
<strong>Use technology to find the  P -value for the following values of the test statistic  t , sample size  n , and alternate hypothesis    </strong> A)  0.0930 B)  0.0578 C)  0.1156 D)  0.0465

A) 0.0930
B) 0.0578
C) 0.1156
D) 0.0465
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49
The following display from a TI-84 Plus calculator presents the results of a hypothesis test. ) The following display from a TI-84 Plus calculator presents the results of a hypothesis test. )
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50
Use technology to find the P -value for the following values of the test statistic t , sample size n , and alternate hypothesis <strong>Use technology to find the  P -value for the following values of the test statistic  t , sample size  n , and alternate hypothesis    </strong> A)  0.0428 B)  0.0214 C)  0.0462 D)  0.0231
<strong>Use technology to find the  P -value for the following values of the test statistic  t , sample size  n , and alternate hypothesis    </strong> A)  0.0428 B)  0.0214 C)  0.0462 D)  0.0231

A) 0.0428
B) 0.0214
C) 0.0462
D) 0.0231
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51
The mean annual tuition and fees for a sample of 15 private colleges was $35,500 with astandard deviation of $6500. ) The mean annual tuition and fees for a sample of 15 private colleges was $35,500 with astandard deviation of $6500. )
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52
Forty-five members of a bowling league sign up for a program that claims to improve Forty-five members of a bowling league sign up for a program that claims to improve
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53
The following output from MINITAB presents the results of a hypothesis test. ) The following output from MINITAB presents the results of a hypothesis test. )
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54
A sample of 37 students enroll in a program that claims to improve scores on the
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55
Forty-two members of a bowling league sign up for a program that claims to improve Forty-two members of a bowling league sign up for a program that claims to improve
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56
The following output from MINITAB presents the results of a hypothesis test. ) The following output from MINITAB presents the results of a hypothesis test. )
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57
Fifty members of a bowling league sign up for a program that claims to improve bowling scores. Fifty members of a bowling league sign up for a program that claims to improve bowling scores.
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58
Find the critical value for the following values of the significance level <strong>Find the critical value for the following values of the significance level   sample size  n , and alternate hypothesis    </strong> A)  -4.032 B)  -3.143 C)  -2.326 D)  -3.365 sample size n , and alternate hypothesis <strong>Find the critical value for the following values of the significance level   sample size  n , and alternate hypothesis    </strong> A)  -4.032 B)  -3.143 C)  -2.326 D)  -3.365
<strong>Find the critical value for the following values of the significance level   sample size  n , and alternate hypothesis    </strong> A)  -4.032 B)  -3.143 C)  -2.326 D)  -3.365

A) -4.032
B) -3.143
C) -2.326
D) -3.365
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59
The mean annual tuition and fees for a sample of 9 private colleges was $30,100 with astandard deviation of $5500. A dotplot shows that it is reasonable to assume that thepopulation is approximately normal. You wish to test whether the mean tuition and feesfor private colleges is different from $33,000.Compute the value of the test statistic and state the number of degrees of freedom.

A)-0.527; 9 degrees of freedom
B)-0.527; 8 degrees of freedom
C)-1.582; 9 degrees of freedom
D)-1.582; 8 degrees of freedom
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60
A sample of 40 students enroll in a program that claims to improve scores on the quantitative A sample of 40 students enroll in a program that claims to improve scores on the quantitative
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61
The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     Do you reject   at the   level of significance?</strong> A) No B) Yes
<strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     Do you reject   at the   level of significance?</strong> A) No B) Yes
Do you reject <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     Do you reject   at the   level of significance?</strong> A) No B) Yes at the <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     Do you reject   at the   level of significance?</strong> A) No B) Yes level of significance?

A) No
B) Yes
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62
A random sample of size 16 from a normal distribution has standard deviation s=32 .
Test <strong>A random sample of size 16 from a normal distribution has standard deviation  s=32 . Test   Use the   level of significance.</strong> A) Do not reject   B) Reject
Use the <strong>A random sample of size 16 from a normal distribution has standard deviation  s=32 . Test   Use the   level of significance.</strong> A) Do not reject   B) Reject
level of significance.

A) Do not reject <strong>A random sample of size 16 from a normal distribution has standard deviation  s=32 . Test   Use the   level of significance.</strong> A) Do not reject   B) Reject
B) Reject <strong>A random sample of size 16 from a normal distribution has standard deviation  s=32 . Test   Use the   level of significance.</strong> A) Do not reject   B) Reject
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63
The mean annual tuition and fees for a sample of 12 private colleges was $39,200with a standard deviation of $4300. A dotplot shows that it is reasonable toassume that the population is approximately normal. You wish to test whether themean tuition and fees for private colleges is different from $35,500.
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64
The following display from a TI-84 Plus calculator presents the results of a hypothesis The following display from a TI-84 Plus calculator presents the results of a hypothesis
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65
The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     State the null and alternate hypotheses.</strong> A)   B)   C)   D)
<strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     State the null and alternate hypotheses.</strong> A)   B)   C)   D)
State the null and alternate hypotheses.

A) <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     State the null and alternate hypotheses.</strong> A)   B)   C)   D)
B) <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     State the null and alternate hypotheses.</strong> A)   B)   C)   D)
C) <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     State the null and alternate hypotheses.</strong> A)   B)   C)   D)
D) <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     State the null and alternate hypotheses.</strong> A)   B)   C)   D)
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66
<strong>  1 What is the value of s?</strong> A)9.4 B)0.554568 C)3.881977 D)0.000011 1 What is the value of s?

A)9.4
B)0.554568
C)3.881977
D)0.000011
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67
The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     What is the value of   </strong> A)  -0.283139 B) 40 C)  0.389120 D)  39.92
<strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     What is the value of   </strong> A)  -0.283139 B) 40 C)  0.389120 D)  39.92
What is the value of <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     What is the value of   </strong> A)  -0.283139 B) 40 C)  0.389120 D)  39.92

A) -0.283139
B) 40
C) 0.389120
D) 39.92
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68
Historically, a certain region has experienced 68 thunder days annually. (A "thunder day"is day on which at least one instance of thunder is audible to a normal human ear). Overthe past seven years, the mean number of thunder days is 58 with a standard deviation of26. Can you conclude that the mean number of thunder days is less than 68? Use the = 0.10 level of significance.

A)There is not enough information to draw a conclusion.
B)No. There is insufficient evidence to conclude that the number of thunder days is lessthan 68.
C)Yes. The number of thunder days appears to be less than 68.
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69
A machine that fills beverage cans is supposed to put 16 ounces of beverage in each can.Following are the amounts measured in a simple random sample of eight cans. ) A machine that fills beverage cans is supposed to put 16 ounces of beverage in each can.Following are the amounts measured in a simple random sample of eight cans. )
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70
The following display from a TI-84 Plus calculator presents the results of a hypothesis The following display from a TI-84 Plus calculator presents the results of a hypothesis
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71
In a simple random sample of size 73, there were 44 individuals in the category of interest. It is desired to test <strong>In a simple random sample of size 73, there were 44 individuals in the category of interest. It is desired to test   versus   Compute the test statistic  z .</strong> A)  0.60 B)  -3.65 C)  0.05 D)  8.68
versus <strong>In a simple random sample of size 73, there were 44 individuals in the category of interest. It is desired to test   versus   Compute the test statistic  z .</strong> A)  0.60 B)  -3.65 C)  0.05 D)  8.68
Compute the test statistic z .

A) 0.60
B) -3.65
C) 0.05
D) 8.68
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72
The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean
<strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     How many degrees of freedom are there?</strong> A) 51 B) 33 C) 50 D) 52
<strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     How many degrees of freedom are there?</strong> A) 51 B) 33 C) 50 D) 52
How many degrees of freedom are there?

A) 51
B) 33
C) 50
D) 52
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73
The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     What is the value of  s ? </strong> A)  0.55832 B)  0.016605 C)  -2.182483 D)  30.84
<strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test for a population mean     What is the value of  s ? </strong> A)  0.55832 B)  0.016605 C)  -2.182483 D)  30.84
What is the value of s ?

A) 0.55832
B) 0.016605
C) -2.182483
D) 30.84
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74
  1 1
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75
In a simple random sample of size 77 , there were 37 individuals in the category of interest. Compute the sample proportion <strong>In a simple random sample of size 77 , there were 37 individuals in the category of interest. Compute the sample proportion  </strong> A)  0.481 B)  0.519 C) 114 D)  0.925

A) 0.481
B) 0.519
C) 114
D) 0.925
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76
In a simple random sample of size 95 , there were 66 individuals in the category of interest. It is desired to test <strong>In a simple random sample of size 95 , there were 66 individuals in the category of interest. It is desired to test    0.05  level? versus   Do you reject   at the</strong> A) Yes B) No 0.05 level?
versus <strong>In a simple random sample of size 95 , there were 66 individuals in the category of interest. It is desired to test    0.05  level? versus   Do you reject   at the</strong> A) Yes B) No
Do you reject <strong>In a simple random sample of size 95 , there were 66 individuals in the category of interest. It is desired to test    0.05  level? versus   Do you reject   at the</strong> A) Yes B) No at the

A) Yes
B) No
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77
  3 3
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78
<strong>  5 How many degrees of freedom are there?</strong> A)53 B)32 C)55 D)54 5 How many degrees of freedom are there?

A)53
B)32
C)55
D)54
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79
  6 6
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80
The mean annual tuition and fees for a sample of 11 private colleges was $34,100 with astandard deviation of $5400 A dotplot shows that it is reasonable to assume that thepopulation is approximately normal. ) The mean annual tuition and fees for a sample of 11 private colleges was $34,100 with astandard deviation of $5400 A dotplot shows that it is reasonable to assume that thepopulation is approximately normal. )
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