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 3 groups in which each group will have the same number of subjects: n=10n=10. (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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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 3 groups in which each group will have the same number of subjects: n=10n=10. (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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