Question
Asked Jan 21, 2020
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12. The following results are from an independent-
measures, two-factor study with n = 10 participants
in each treatment condition.
Factor B
B.
B,
T = 40
T = 10
%3!
%3!
A,
M = 4
M = 1
SS = 50
SS = 30
Factor A
T = 50
T = 20
M = 5
M = 2
A,
SS = 40
SS = 60
N = 40
G = 120
EX = 640
a. Use a two-factor ANOVA with a = .05 to evaluate
the main effects and the interaction.
b. Compute n? to measure the effect size for each of
the main effects and the interaction.
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12. The following results are from an independent- measures, two-factor study with n = 10 participants in each treatment condition. Factor B B. B, T = 40 T = 10 %3! %3! A, M = 4 M = 1 SS = 50 SS = 30 Factor A T = 50 T = 20 M = 5 M = 2 A, SS = 40 SS = 60 N = 40 G = 120 EX = 640 a. Use a two-factor ANOVA with a = .05 to evaluate the main effects and the interaction. b. Compute n? to measure the effect size for each of the main effects and the interaction.

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Expert Answer

Step 1

(a) The data is provided for an independent measures, two-factor study with n=10 participants in each treatment condition.

The level of significance is provided as 0.05. Using the provided data, the degrees of freedom can be calculated as:

Statistics homework question answer, step 1, image 1
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Step 2

The sum of squares can be calculated as:

Statistics homework question answer, step 2, image 1
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Step 3

The mean sum of squares c...

Statistics homework question answer, step 3, image 1
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