The following table summarizes the results of a two-factor ANOVA evaluating an independent-measures experiment with 2...
The following table summarizes the results of a two-factor ANOVA evaluating an independent-measures experiment with 2 levels of factor A, 3 levels of factor B, and n = 6 participants in each treatment condition.
A. Fill in all missing values in the table. Show your work (i.e., all computational steps for finding the missing values). Hint: start with the df values.
B. Do these data indicate any significant effects (assume p < .05 for hypothesis testing of all three effects)? Note: in order to receive full credit, your answer for each effect should include: the null hypothesis H0 & the alternative hypothesis H1 the critical F value used for the decision about H0 if the difference is statistically significant, the computed effect size, η2 the conclusion in APA style format
Source SS df MS
Between Treatments 75 ____
Factor A ____ ____ ____ FA = ___
Factor B ____ ____ 15 FB = ___
A x B ____ ____ ____ FAxB = 6.00
Within Treatments ____ ____ ____
Total 165 ____
Homework Answers
Answer:---- Date:---31/07/2019
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The following table summarizes the results of a two-factor ANOVA
evaluating an independent-measures experiment with 2...
Please show your work The following table summarizes the results of a two-factor ANOVA evaluating an...
Please show your work
The following table summarizes the results of a two-factor ANOVA evaluating an independent- measures experiment with two levels of factor A three levels of factor B, and n= 5 subjects in each separate sample. a. Fill in all missing values in the table. (Hint: Start with the df column.) Source SS df MS Between Treatments 60 Fbtw = Factor A FA= 5 Factor B FB= Ах В 30 FAB= I Within Treatments Total
Question 12 15 pts The following table summarizes the results of a two-factor ANOVA evaluating an...
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The following results are from an independent-measures, two-factor study with n condition. 10 participants in each...
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The following results are from an independent-measures, two-factor study with n = 5 participants in each...
The following results are from an independent-measures, two-factor study with n = 5 participants in each treatment condition Factor A: Factor B: 3 M=5 M=8 M=14 T=25 T=40 T=70 SS 30 SS 38 SS46 n=5 n=5 n=5 2 T= 15 T-20 T=40 SS 22 SS 26 SS 30 ZX2 = 2,062 Use a two-factor ANOVA with α = .05 to evaluate the main effects and interaction. Source df MS Between treatments A x B Within treatments Total F Distribution Numerator...
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Please show your work
The following table summarizes the results of a two-factor ANOVA evaluating an independent- measures experiment with two levels of factor A three levels of factor B, and n= 5 subjects in each separate sample. a. Fill in all missing values in the table. (Hint: Start with the df column.) Source SS df MS Between Treatments 60 Fbtw = Factor A FA= 5 Factor B FB= Ах В 30 FAB= I Within Treatments Total
Question 12 15 pts The following table summarizes the results of a two-factor ANOVA evaluating an independent-measures experiment with two levels of factor A, three levels of factor B, and n = 5 subjects in each separate sample. Fill in all missing values in the table. (Hint: Start with the df column.) Source SS df MS 60 Between Treatments Factor A FA = 5 Factor B _ — FB = AXB 30 FAXB = N Within Treatments Total HTML Editor...
The following table summarizes the results from a two-factor study with 2 levels of factor A and 3 levels of factor B using a separate sample of n = 8 participants in each treatment condition. (Hint: Start with the df values.) Source df MS Between treatments 72 6.00 Ax B Within treatments Total 12 126
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