### Hypothesis Testing Using One-Way ANOVA**Objective:** Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and the final conclusion that addresses the original claim.**Significance Level:** 0.05**Data: One-way ANOVA Table**| Source | DF | SS | MS | F | P ||--------|----|--------|-------|------|------|| Size | 3 | 13.500 | 4.500 | 5.17 | 0.011|| Error | 16 | 13.925 | 0.870 | | || Total | 19 | 27.425 | | | |**Hypothesis Setup**- **Null Hypothesis (H0):** Fill this with the statement that indicates no effect or no difference.- **Alternative Hypothesis (H1):** Fill this with the statement that indicates there is an effect or a difference.**Test Statistic and P-value Determination**- **Test Statistic (F):** The F-value from the ANOVA table.- **P-value:** The P-value from the ANOVA table.**Conclusion Criteria**- Compare the P-value to the significance level (0.05).- **Significance Level:** 0.05- Draw a conclusion based on whether the P-value is less than or greater than the significance level.**Conclusion Structure**- If P-value < Significance Level: Reject the null hypothesis (H0).- If P-value ≥ Significance Level: Fail to reject the null hypothesis (H0).Following this structure ensures the clarity and correctness of hypothesis testing using one-way ANOVA for educational purposes.

The following information has been given: One Way Anova Table: Source DF SS MS F P Size 3…

Answered: Identify the null hypothesis,…

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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