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The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment Treatment One Two 4.1 3 5.1 3.8 3.8 1.9 2.1 5.2 3.6 6 5.4 5.9 4.3 2.9 6 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? O Yes, the p-values are different enough to change the outcome of the test. O 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 4.1 3 5.1 3.8 3.8 1.9 2.1 5.2 3.6 6 5.4 5.9 4.3 2.9 6 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? O Yes, the p-values are different enough to change the outcome of the test. O No, the p-values aren't that far off where it would change the outcome of the test.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section: Chapter Questions
Problem 22SGR
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The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment One Treatment Two 4.1 5.1 3.8 3.8 1.9 2.1 5.2 3.6 5.4 5.9 4.3 2.9 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? O Yes, the p-values are different enough to change the outcome of the test. O 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 One Treatment Two 4.1 5.1 3.8 3.8 1.9 2.1 5.2 3.6 5.4 5.9 4.3 2.9 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? O Yes, the p-values are different enough to change the outcome of the test. O No, the p-values aren't that far off where it would change the outcome of the test.
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