The following results are from an independent-measures, two-factor study with n = 5 participants in each treatment condition. Factor A: Factor B:   B₁ B₂ B₃   n = 5 n = 5 n = 5 A₁ M = 5 M = 8 M = 14   T = 25 T = 40 T = 70   SS = 30 SS = 38 SS = 46   n = 5 n = 5  n = 5 A₂ M = 3 M = 4 M = 8   T = 15 T = 20 T = 40   SS = 22 SS = 26 SS = 30     ∑X² = 2,062     A. Use a two-factor ANOVA with α = .05 to evaluate the main effects and interactions. Source SS df MS F Between treatments       -   -  A         B         A x B         Within treatments         _  Total       B. Use the Distribution tool to find critical F values. (Use three decimal places.) F-criticalAA =   F-criticalBB =   F-criticalAxBAxB =     C.  Is there a significant main effect for factor A? Yes or No    Is there a significant main effect for factor B? Yes or No     Is there a significant interaction? Yes or No

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The following results are from an independent-measures, two-factor study with n = 5 participants in each treatment condition.
Factor A:
Factor B:
  B₁ B₂ B₃
  n = 5 n = 5 n = 5
A₁ M = 5 M = 8 M = 14
  T = 25 T = 40 T = 70
  SS = 30 SS = 38 SS = 46
  n = 5 n = 5  n = 5
A₂ M = 3 M = 4 M = 8
  T = 15 T = 20 T = 40
  SS = 22 SS = 26 SS = 30
    ∑X² = 2,062  
 
A. Use a two-factor ANOVA with α = .05 to evaluate the main effects and interactions.
Source
SS
df
MS
F
Between treatments
 
 
  -   - 
A
 
 
 
 
B
 
 
 
 
A x B
 
 
 
 
Within treatments
 
 
 
  _ 
Total
 
 

 

B. Use the Distribution tool to find critical F values. (Use three decimal places.)
F-criticalAA =
 
F-criticalBB =
 
F-criticalAxBAxB =
 

 

C. 

Is there a significant main effect for factor A? Yes or No 
 
Is there a significant main effect for factor B? Yes or No  
 
Is there a significant interaction? Yes or No   
 
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