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.

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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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