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 = 88.4 meters and s = 12.4 meters, respectively. Suppose you want to determine if the true value of μ differs from 95 meters. Complete parts a through h below. 91 98 105 94 79 68 84 a. Specify the null and alternative hypotheses for this test. OA. Ho: μ=95 H₂: μ>95 OC. Ho: μ#95 H₂:μ=95 t= ▸ b. Since x = 88.4 is less than 95, a fisherman wants to reject the null hypothesis. What are the problems with using such a decision rule? (Round to two decimal places as needed.) D OA. To reject the null hypothesis, the problem must specify the sample size. OB. To reject the null hypothesis, the problem must specify the critical value of z. OC. 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. O D. To reject the null hypothesis, the problem must specify the critical value of t. c. Compute the value of the test statistic. d. Find the approximate p-value of the test. OB. Ho: μ = 95 Ha: μ<95 p-value= (Round to three decimal places as needed.) a Calaot unlun of the nahahility of Tuna loror Internrat this unlun in the words of the nhlam OD. Ho: H=95 H₂:μ#95
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 = 88.4 meters and s = 12.4 meters, respectively. Suppose you want to determine if the true value of μ differs from 95 meters. Complete parts a through h below. 91 98 105 94 79 68 84 a. Specify the null and alternative hypotheses for this test. OA. Ho: μ=95 H₂: μ>95 OC. Ho: μ#95 H₂:μ=95 t= ▸ b. Since x = 88.4 is less than 95, a fisherman wants to reject the null hypothesis. What are the problems with using such a decision rule? (Round to two decimal places as needed.) D OA. To reject the null hypothesis, the problem must specify the sample size. OB. To reject the null hypothesis, the problem must specify the critical value of z. OC. 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. O D. To reject the null hypothesis, the problem must specify the critical value of t. c. Compute the value of the test statistic. d. Find the approximate p-value of the test. OB. Ho: μ = 95 Ha: μ<95 p-value= (Round to three decimal places as needed.) a Calaot unlun of the nahahility of Tuna loror Internrat this unlun in the words of the nhlam OD. Ho: H=95 H₂:μ#95
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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