Analysis of Variance MCQs

Analysis of Variance MCQs

Answer these Analysis of Variance MCQs and see how sharp is your knowledge of Analysis of Variance.
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1: An inferential statistic to assess the statistical significance of the relationship between two variables across multiple populations is called _____.

A.   Analysis of variance

B.   T-test

C.   Regression

D.   Analysis of covarience

2: The amount of variance that exists for all cases in a sample when comparing subgroup means with the overall mean is knwin as Between-group sum of squares.

A.   True

B.   False

3: A measure of association used when the independent variable is categorical (nominal or ordinal) and the dependent variable is interval/ratio is called _____.

A.   Eta 2

B.   Delta 7

C.   Tie fighter

D.   X wing

4: The outcome of an analysis of variance calculation equal to the ratio of the mean square between groups to the mean square within groups is called ____.

A.   F-ratio

B.   T-statistic

C.   P-value

D.   F-value

5: A technique used to control for sampling error in which the betweengroup sum of squares is divided by its corresponding degrees of freedom is known as Mean square _____populations.

A.   Between

B.   Within

C.   Aside

D.   Among

6: A technique used to control for sampling error in which the within-group sum of squares is divided by its corresponding degrees of freedom is called Mean square _____ population.

A.   Between

B.   Within

C.   Aside

D.   Among

7: The sum of squared deviations from a mean is called _____.

A.   Sum of squares

B.   Variance

C.   Standard deviation

D.   Mean square

8: The amount of variance that exists for all cases in a sample relative to the mean for the entire sample. It is equal to the sum of withingroup variance and between-group variance is called Total sum of squares.

A.   True

B.   False

9: The amount of variance that exists for all cases in a sample relative to their subgroup means is called _____ - group sum of squares.

A.   Within

B.   Total

C.   Mean

D.   Between