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The test statistic for testing HO: mu = 100 against Ha: mu != 100 was t = 3.3, with p-value of 0.001. Which of these is the correct conclusion? Since the p-value is very small, we conclud that mu != 100 O Since the p-vaue is very smal, we are unable to conlude that mu != 100 Since the p-value is very small, we must conclude the mu = 100 O In order to interpret the results, we must first know the sample size. Since the p-value is very small, we are unable to conclude that mu = 100.

The test statistic for testing HO: mu = 100 against Ha: mu != 100 was t = 3.3, with p-value of 0.001. Which of these is the correct conclusion? Since the p-value is very small, we conclud that mu != 100 O Since the p-vaue is very smal, we are unable to conlude that mu != 100 Since the p-value is very small, we must conclude the mu = 100 O In order to interpret the results, we must first know the sample size. Since the p-value is very small, we are unable to conclude that mu = 100.

MATLAB: An Introduction with Applications
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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The test statistic for testing HO: mu = 100 against Ha: mu != 100 was t = 3.3, with p-value of 0.001. Which of these is the correct conclusion? O Since the p-value is very small, we conclud that mu != 100 Since the p-vaue is very smal, we are unable to conlude that mu != 100 O Since the p-value is very small, we must conclude the mu = 100 In order to interpret the results, we must first know the sample size. Since the p-value is very small, we are unable to conclude that mu = 100.
Transcribed Image Text:The test statistic for testing HO: mu = 100 against Ha: mu != 100 was t = 3.3, with p-value of 0.001. Which of these is the correct conclusion? O Since the p-value is very small, we conclud that mu != 100 Since the p-vaue is very smal, we are unable to conlude that mu != 100 O Since the p-value is very small, we must conclude the mu = 100 In order to interpret the results, we must first know the sample size. Since the p-value is very small, we are unable to conclude that mu = 100.
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