uppose you want to test the claim that u, <42. Two samples are randomly selected from each population. If a hypothesis test is performed, how should you interpret a decision that ails to reject the null hypothesis? 2A. There is not sufficient evidence to reject the claim u, <, O B. There is not sufficient evidence to support the claim u,
uppose you want to test the claim that u, <42. Two samples are randomly selected from each population. If a hypothesis test is performed, how should you interpret a decision that ails to reject the null hypothesis? 2A. There is not sufficient evidence to reject the claim u, <, O B. There is not sufficient evidence to support the claim u,
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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Transcribed Image Text:Title: Hypothesis Testing: Interpreting the Failure to Reject the Null Hypothesis
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**Scenario:**
Suppose you want to test the claim that \( \mu_1 < \mu_2 \). Two samples are randomly selected from each population. If a hypothesis test is performed, how should you interpret a decision that fails to reject the null hypothesis?
**Options:**
- **A.** There is not sufficient evidence to reject the claim \( \mu_1 < \mu_2 \).
- **B.** There is not sufficient evidence to support the claim \( \mu_1 < \mu_2 \).
- **C.** There is sufficient evidence to reject the claim \( \mu_1 < \mu_2 \).
- **D.** There is sufficient evidence to support the claim \( \mu_1 < \mu_2 \).
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**Explanation:**
When a hypothesis test fails to reject the null hypothesis, it suggests that there is not enough statistical evidence to support the alternative hypothesis. This situation does not prove the null hypothesis; it merely indicates insufficient evidence against it.
**Note:** There are no graphs or diagrams in this scenario to explain.
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