To test Ho: μ = 50 versus H₁: μ# 50, a simple random sample of size n = 40 is obtained. Complete parts (a) through (f) be Click the icon to view the table of critical t-values. ... (a) Does the population have to be normally distributed to test this hypothesis by using t-distribution methods? Why? A. Yes-the population must be normally distributed in all cases in order to perform a hypothesis test. B. No-since the sample size is at least 30, the underlying population does not need to be normally distributed. C. No-there are no constraints in order to perform a hypothesis test. OD. Yes since the sample size is at not least 50, the underlying population does not need to be normally distribut (b) If x= 53.8 and s= 8.9, compute the test statistic. to = (Round to two decimal places as needed.)
To test Ho: μ = 50 versus H₁: μ# 50, a simple random sample of size n = 40 is obtained. Complete parts (a) through (f) be Click the icon to view the table of critical t-values. ... (a) Does the population have to be normally distributed to test this hypothesis by using t-distribution methods? Why? A. Yes-the population must be normally distributed in all cases in order to perform a hypothesis test. B. No-since the sample size is at least 30, the underlying population does not need to be normally distributed. C. No-there are no constraints in order to perform a hypothesis test. OD. Yes since the sample size is at not least 50, the underlying population does not need to be normally distribut (b) If x= 53.8 and s= 8.9, compute the test statistic. to = (Round to two decimal places as needed.)
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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