Analysis of variance compares the means of a response variable for several groups. ANOVA compares the variation within each group to the variation of the mean of each group. The ratio of these two is the F statistic from an F distribution with (number of groups - 1) as the numerator degrees of freedom and (number of observations - number of groups) as the denominator degrees of freedom. You intend to conduct an ANOVA with 4 groups in which each group will have the same number of subjects: n=12n=12. (This is referred to as a "balanced" single-factor ANOVA.) What are the degrees of freedom for the numerator? d.f.(treatment) = What are the degrees of freedom for the denominator? d.f.(error) =
Analysis of variance compares the means of a response variable for several groups. ANOVA compares the variation within each group to the variation of the mean of each group. The ratio of these two is the F statistic from an F distribution with (number of groups - 1) as the numerator degrees of freedom and (number of observations - number of groups) as the denominator degrees of freedom.
You intend to conduct an ANOVA with 4 groups in which each group will have the same number of subjects: n=12n=12. (This is referred to as a "balanced" single-factor ANOVA.)
What are the degrees of freedom for the numerator?
d.f.(treatment) =
What are the degrees of freedom for the denominator?
d.f.(error) =
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