g. What conditions must be satisfied for the test results to be valid?

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Trap spacing measurements (in meters) for a sample of seven teams of red spiny lobster fisherman are reproduced in the accompanying table. Let u represent the average of the trap spacing measurements for the population of red spiny lobster
fisherman. The mean and the standard deviation of the sample measurements are x = 89.1 meters and s = 12.3 meters, respectively. Suppose you want to determine if the true value of u differs from 95 meters. Complete parts a through h below.
92
98
106
94
80
69
85
...
a. Specify the null and alternative hypotheses for this test.
Ο Α. H : μ= 95
B. H: μ= 95
%3D
Ha: µ> 95
Ha: H< 95
D. Ho: μ= 95
Ha: H#95
C.
Ha: µ= 95
b. Since x = 89.1 is less than 95, a fisherman wants to reject the null hypothesis. What are the problems with using such a decision rule?
A. To reject the null hypothesis, the problem must specify the sample size.
B. To reject the null hypothesis, the problem must specify the value of a and the probability that the test will lead to rejection and then consult the t or z table depending on the size of the sample.
C. To reject the null hypothesis, the problem must specify the critical value of t.
D. To reject the null hypothesis, the problem must specify the critical value of z.
c. Compute the value of the test statistic.
t= - 1.27 (Round to two decimal places as needed.)
d. Find the approximate p-value of the test.
p-value = 0.251 (Round to three decimal places as needed.)
%3D
e. Select a value of a, the probability of Type I error. Interpret this value in the words of the problem.
A. There would still be sufficient evidence to reject the null hypothesis if a > 0.250.
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Transcribed Image Text:Trap spacing measurements (in meters) for a sample of seven teams of red spiny lobster fisherman are reproduced in the accompanying table. Let u represent the average of the trap spacing measurements for the population of red spiny lobster fisherman. The mean and the standard deviation of the sample measurements are x = 89.1 meters and s = 12.3 meters, respectively. Suppose you want to determine if the true value of u differs from 95 meters. Complete parts a through h below. 92 98 106 94 80 69 85 ... a. Specify the null and alternative hypotheses for this test. Ο Α. H : μ= 95 B. H: μ= 95 %3D Ha: µ> 95 Ha: H< 95 D. Ho: μ= 95 Ha: H#95 C. Ha: µ= 95 b. Since x = 89.1 is less than 95, a fisherman wants to reject the null hypothesis. What are the problems with using such a decision rule? A. To reject the null hypothesis, the problem must specify the sample size. B. To reject the null hypothesis, the problem must specify the value of a and the probability that the test will lead to rejection and then consult the t or z table depending on the size of the sample. C. To reject the null hypothesis, the problem must specify the critical value of t. D. To reject the null hypothesis, the problem must specify the critical value of z. c. Compute the value of the test statistic. t= - 1.27 (Round to two decimal places as needed.) d. Find the approximate p-value of the test. p-value = 0.251 (Round to three decimal places as needed.) %3D e. Select a value of a, the probability of Type I error. Interpret this value in the words of the problem. A. There would still be sufficient evidence to reject the null hypothesis if a > 0.250. View an example Тextbook Statcrunch Clear all Final check
Trap spacing measurements (in meters) for a sample of seven teams of red spiny lobster fisherman are reproduced in the accompanying table. Let u represent the average of the trap spacing measurements for the population of red spiny lobster
fisherman. The mean and the standard deviation of the sample measurements are x = 89.1 meters and s = 12.3 meters, respectively. Suppose you want to determine if the true value of u differs from 95 meters. Complete parts a through h below.
92
98
106
94
80
69
85 O
O D.
Tnere wouia stili be suTICient evidence to reject the nuii nypotnesis IT a > 0.001
Interpret this value in the words of the problem.
A. A Type I error would be to conclude that the true mean of the trap spacing measurements is 89.1 when, in fact, the mean is equal to 95.
B. A Type l error would be to conclude that the true mean of the trap spacing measurements is not 95 when, in fact, the mean is equal to 95.
C. A Type I error would be to conclude that the true mean of the trap spacing measurements is 95 when, in fact, the mean is equal to 89.1.
D. A Type l error would be to conclude that the true mean of the trap spacing measurements is 95 when, in fact, the mean is not equal to 95.
f. Give the appropriate conclusion, based on the results of parts d and e. Let a = 0.05.
A. Fail to reject Ho. There is sufficient evidence to indicate
+ 95.
B. Reject Ho: There is sufficient evidence to indicate u # 95.
C. Fail to reject Ho. There is insufficient evidence to indicate u + 95.
D. Reject Ho: There is insufficient evidence to indicateu # 95.
g. What conditions must be satisfied for the test results to be valid?
A. The conditions that must be satisfied are that a random sample is selected from the target sample and the selected sample has a distribution that is approximately normal.
B. The conditions that must be satisfied are that a random sample is selected from the target population and the population from which the sample is selected has a distribution that is approximately normal.
C. The conditions that must be satisfied are that a random sample is selected from the target population and the population from which the sample is selected does not have a distribution that is approximately normal.
D. The conditions that must be satisfied are that a random sample is selected from the target sample and the selected sample does not have a distribution that is approximately normal.
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Final check
Transcribed Image Text:Trap spacing measurements (in meters) for a sample of seven teams of red spiny lobster fisherman are reproduced in the accompanying table. Let u represent the average of the trap spacing measurements for the population of red spiny lobster fisherman. The mean and the standard deviation of the sample measurements are x = 89.1 meters and s = 12.3 meters, respectively. Suppose you want to determine if the true value of u differs from 95 meters. Complete parts a through h below. 92 98 106 94 80 69 85 O O D. Tnere wouia stili be suTICient evidence to reject the nuii nypotnesis IT a > 0.001 Interpret this value in the words of the problem. A. A Type I error would be to conclude that the true mean of the trap spacing measurements is 89.1 when, in fact, the mean is equal to 95. B. A Type l error would be to conclude that the true mean of the trap spacing measurements is not 95 when, in fact, the mean is equal to 95. C. A Type I error would be to conclude that the true mean of the trap spacing measurements is 95 when, in fact, the mean is equal to 89.1. D. A Type l error would be to conclude that the true mean of the trap spacing measurements is 95 when, in fact, the mean is not equal to 95. f. Give the appropriate conclusion, based on the results of parts d and e. Let a = 0.05. A. Fail to reject Ho. There is sufficient evidence to indicate + 95. B. Reject Ho: There is sufficient evidence to indicate u # 95. C. Fail to reject Ho. There is insufficient evidence to indicate u + 95. D. Reject Ho: There is insufficient evidence to indicateu # 95. g. What conditions must be satisfied for the test results to be valid? A. The conditions that must be satisfied are that a random sample is selected from the target sample and the selected sample has a distribution that is approximately normal. B. The conditions that must be satisfied are that a random sample is selected from the target population and the population from which the sample is selected has a distribution that is approximately normal. C. The conditions that must be satisfied are that a random sample is selected from the target population and the population from which the sample is selected does not have a distribution that is approximately normal. D. The conditions that must be satisfied are that a random sample is selected from the target sample and the selected sample does not have a distribution that is approximately normal. View an example Textbook Statcrunch Clear all Final check
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