Exam 10: One-Factor Between-Subjects Analysis of Variance

Both MSA and MSError are independent estimates of the population variance of scores in a one-factor between-subjects analysis of variance. Therefore,.

If the independent variable has no effect in a one-factor between-subjects analysis of variance, then the F statistic will.

The situation that is assumed to exist if the independent variable has no effect in an experiment is represented by.

The situation that that is assumed to exist if the independent variable has an effect in an experiment is represented by.

Both and are unbiased estimates of the population variance of scores in a one-factor between-subjects analysis of variance.

Suppose an experiment had a total of 45 participants who were randomly assigned to one of three groups with 15 participants in each group. The df for SSTotal would equal.

SSTotal in a one-factor between-subjects analysis of variance is equal to SSA SSError.

A F statistic in a one-factor between-subjects analysis of variance is formed by dividing by.

Mean squares in an analysis of variance are obtained by dividing each by its.

If the results of an experiment using a one-factor between-subjects analysis of variance were reported as F(4, 70) = 2.96, p < .05, then you can determine that.

Error variation in scores within treatment conditions is reflected in in a one-factor between-subjects analysis of variance.

Assume that an experiment used a one-factor between-subjects design with four groups and that each group consisted of eight participants. What would be the value of nA ?

Thirty-six participants were used in a one-factor between-subjects experiment with three levels of an independent variable. If the group sizes were equal, what is the value of nA?

The SSError in a one-factor between-subjects analysis of variance represents the variation .

For a one-factor between-subjects analysis of variance, η2 is obtained by dividing SSA by .

Which of the following is a major limitation of tind?

When the null hypothesis is true, the sampling distribution of the F statistic.

If the critical difference for the Tukey test equals 3 for α equal to .05, then a difference between means of 10 and 5 for two groups is ,.

Mean square is another term for a.

MSA in a one-factor between-subjects analysis of variance is responsive to the effect of .