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Sagot :
Answer:
(1, 36)
Step-by-step explanation:
Degrees of freedom for the F-test of the two way ANOVA
Here, we use a two factors, independent measures ANOVA, where, factor [tex]A[/tex] has 2 level and a factor [tex]B[/tex] also has 2 levels.
So, here,
[tex]$k_1$[/tex] = number of levels of A = 2
[tex]k_2[/tex] = number of levels of B = 2
And n = sample size in each treatment condition = 10
So we have,
[tex]d_1[/tex] = df of the main effect A = ([tex]$k_1$[/tex] - 1) = 2 - 1 = 1
[tex]d_2[/tex] = df of the main effect A = ([tex]$k_2$[/tex] - 1) = 2 - 1 = 1
[tex]d_3[/tex] = df of interaction effect (A x B) = ([tex]$k_1$[/tex] - 1)([tex]$k_2$[/tex] - 1)
= (2-1)(2-1)
= 1
And [tex]d_4[/tex] = df of within variation (i.e. error variation) = [tex]$k_1k_2(n-1)$[/tex]
= 2 x 2 x (10 - 1)
= 36
So, the df value for the F-ratio evaluating the main effect of factors-A is
= ([tex]d_1, d_4[/tex])
= (1, 36)
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