For either independent-measures or repeated-measures designs comparing two treatments, the mean difference can be evaluated with either a t test or an ANOVA. The two
For either independent-measures or repeated-measures designs comparing two treatments, the mean difference can be evaluated with either a t test or an ANOVA. The two tests are related by the equation F = t2. For the following data,
a. Use a repeated measures t test with α = .05 to determine whether the mean difference between treatments is statistically significant.
b. Use a repeated-measures ANOVA with α = .05 to determine whether the mean difference between treatments is statistically significant. (You should find that F = t2.)
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Difference Person Treatment 1 Treatment 2 A 4 3 2 11 9. 3 3 D 10 3 M = 8.5 M = 4 Mp = 4.5 T = 16 SS = 14 T = 34 SS = 27 SS = 17
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a The null hypothesis states that there is no difference b... View full answer
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Authors: Frederick J Gravetter, Larry B. Wallnau
9th Edition
1111830991, 978-1111830991
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