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The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment Treatment One Two 7.2 2.4 4.5 0.3 6.7 2.7 6.5 6.3 4.9 2.8 6.6 3.5 Conduct ANOVA with a = 0.05 for this data and calculate the F-ratio and p-value. Round your answer to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: Now, conduct a t-test with a = 0.05 on the same data and calculate the t-statisitc and p-value. Round your answer to three decimal places. t-statistic: p-value: Observing the p-values, was there a difference in the result of the hypothesis test? Yes, the p-values are different enough to change the outcome of the test. No, the p-values aren't that far off where it would change the outcome of the test.

The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment Treatment One Two 7.2 2.4 4.5 0.3 6.7 2.7 6.5 6.3 4.9 2.8 6.6 3.5 Conduct ANOVA with a = 0.05 for this data and calculate the F-ratio and p-value. Round your answer to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: Now, conduct a t-test with a = 0.05 on the same data and calculate the t-statisitc and p-value. Round your answer to three decimal places. t-statistic: p-value: Observing the p-values, was there a difference in the result of the hypothesis test? Yes, the p-values are different enough to change the outcome of the test. No, the p-values aren't that far off where it would change the outcome of the test.

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 following data represent the results from an independent-measures study comparing two treatment conditions. Treatment Treatment One Two 7.2 2.4 4.5 0.3 6.7 2.7 6.5 6.3 4.9 2.8 6.6 3.5 Conduct ANOVA with a = 0.05 for this data and calculate the F-ratio and p-value. Round your answer to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: Now, conduct a t-test with a = 0.05 on the same data and calculate the t-statisitc and p-value. Round your answer to three decimal places. t-statistic: p-value: Observing the p-values, was there a difference in the result of the hypothesis test? Yes, the p-values are different enough to change the outcome of the test. No, the p-values aren't that far off where it would change the outcome of the test.
Transcribed Image Text:The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment Treatment One Two 7.2 2.4 4.5 0.3 6.7 2.7 6.5 6.3 4.9 2.8 6.6 3.5 Conduct ANOVA with a = 0.05 for this data and calculate the F-ratio and p-value. Round your answer to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: Now, conduct a t-test with a = 0.05 on the same data and calculate the t-statisitc and p-value. Round your answer to three decimal places. t-statistic: p-value: Observing the p-values, was there a difference in the result of the hypothesis test? Yes, the p-values are different enough to change the outcome of the test. No, the p-values aren't that far off where it would change the outcome of the test.
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