Question: this is my classmates post: First Name: Ian Last Name: Ortin Course Term: 2502C Zip Code: 77450 Quantitative Variable: Age Qualitative Variable: Communication Skills Tests:

this is my classmates post: First Name: Ian Last Name: Ortin Course Term: 2502C Zip Code: 77450 Quantitative Variable: Age Qualitative Variable: Communication Skills Tests: ANOVA (and Kruskal-Wallis) Hypotheses: Null Hypothesis: There is no significant difference between the distributions of ages across communication skill levels. Alternative Hypothesis: There is a level with a notably different distribution of ages. Decision: After organizing the data and running it through ANOVA, I arrived at a p-value of 0.055183. Since 0.055... > 0.05, I failed to reject the null hypothesis. After reading through other students' posts, I have come to realize that a Kruskal-Wallis test may be more fitting due to the overall distribution of ages. After running this test, I got a p-value around 0.284. Similarly, 0.284 > 0.05, so I once again fail to reject the null hypothesis. Interpretation: Using the results from either test, the null hypothesis remains true and is thus accepted. We find no significant difference between the distributions of ages across communication skill levels. In other words, there is nothing to suggest that one's age affects their communication skills

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