The following data represent the results from an independent-measures study comparing two treatment conditions. F-ratio: p-value: Treatment One Conduct ANOVA with `alpha = 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. t-statistic: 6.9 6.7 7.2 5.9 6.2 6.2 8.7 6.4 p-value: Treatment Two 7 4.3 4.5 4.2 5.4 5.6 4.9 4.7 Now, conduct a t-test with alpha = 0.05` on the same data and calculate the `t`-statisitc and `p`-value. Round your answer to three decimal places.

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The following data represent the results from an independent-measures study comparing two treatment
conditions.
F-ratio:
p-value:
Treatment
One
Conduct ANOVA with `alpha = 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.
t-statistic:
6.9
6.7
7.2
5.9
6.2
6.2
8.7
6.4
p-value:
Treatment
Two
7
4.3
4.5
4.2
5.4
5.6
4.9
4.7
Now, conduct a t-test with `alpha = 0.05` on the same data and calculate the `t`-statisitc and `p`-value.
Round your answer to three decimal places.
Transcribed Image Text:The following data represent the results from an independent-measures study comparing two treatment conditions. F-ratio: p-value: Treatment One Conduct ANOVA with `alpha = 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. t-statistic: 6.9 6.7 7.2 5.9 6.2 6.2 8.7 6.4 p-value: Treatment Two 7 4.3 4.5 4.2 5.4 5.6 4.9 4.7 Now, conduct a t-test with `alpha = 0.05` on the same data and calculate the `t`-statisitc and `p`-value. Round your answer to three decimal places.
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