Question

In a within-subjects analysis of variance, the F ratio compares _____________ to ____________. a. within-group variability;...

In a within-subjects analysis of variance, the F ratio compares _____________ to ____________.

a. within-group variability; unexplained variability
b. within-condition variability; subject variability
c. explained variability; within-group variability
d. between-condition variability; explained variability
e. between-condition variability; total variability

A main effect occurs when the.....

a. simple main effects vary
b. marginal means vary
c. estimated frequencies vary
d. observed frequencies are constant

Please explain! thanks :)

Homework Answers

Answer #1

1) Answer: d. between-condition variability; explained variability

Explanation: Within-group variation (sometimes called error group or error variance) is a term used in ANOVA tests. It refers to variations caused by differences within individual groups (or levels). In other words, not all the values within each group (e.g. means) are the same.

Within-group variation (sometimes called error group or error variance) is a term used in ANOVA tests. It refers to variations caused by differences within individual groups (or levels). In other words, not all the values within each group (e.g. means) are the same.

2) Answer: b. marginal means vary

explanation: ANOVA compares the means by it variability so main effect can occur only if marginal variability of main effect would vary.

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