One-Factor Completely Randomized Design MCQs

One-Factor Completely Randomized Design MCQs

Answer these One-Factor Completely Randomized Design MCQs and see how sharp is your knowledge of One-Factor Completely Randomized Design.
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1: ANOVA assesses the differences between two or more groups’ means by analyzing a ratio of variances____

A.   Between groups

B.   Within groups

C.   Both

D.   None

2: Between Groups Variance is a measure of the_____ between a series of groups’ means and the population mean.

A.   Sum of differences

B.   Square of differences

C.   Sum of the squared differences

D.   None of these

3: The Bonferroni correction does reduce the probability of the Type II error by unacceptably increasing the probability of the Type I error.

A.   True

B.   False

4: Causation may be implied between the independent and dependent variables from a completely randomized ANOVA design.

A.   True

B.   False

5: The value of eta in ANOVA ranges between_____

A.   0.00-0.10

B.   0.00-1.00

C.   0.01-0.10

D.   0.01-1.00

6: The source of Experimental Error is_____

A.   Subject error

B.   Participants’ variation in interest

C.   Experimenter’s changing enthusiasm

D.   All of these

7: The other name for Multiple Comparison Tests is _____

A.   Posteriori test

B.   Post hoc test

C.   Hsd test

D.   Both a and b

8: Multiple ts is a design where mean differences among_____ groups are assessed by more than one t test.

A.   One or more

B.   Two

C.   Two or more

D.   Three or more

9: Using multiple ts has the effect of inflating the overall α level to level that is_____

A.   P > .05

B.   P > 0.05

C.   P > 5.0

D.   P = 5.0

10: _____ is a measure of effect size in ANOVA that can be interpreted as the percentage of variance in the dependent variable accounted for by the independent variable.

A.   Eta

B.   Omega Squared

C.   Phi

D.   None of these

11: The word omnibus means covering one situation at once.

A.   True

B.   False

12: ANOVA is an omnibus test because any real pattern of mean differences can cause the rejection of the null hypothesis.

A.   True

B.   False

13: Sampling distribution is a theoretical distribution made up of all possible _____ samples from the same population.

A.   Varying-sized random

B.   Same-sized random

C.   Varying-sized similar

D.   Same-sized similar

14: Standard Error of the mean is the _____ of a sampling distribution of means.

A.   Variance

B.   Standard deviation

C.   Standard score

D.   None of these

15: Subject Error is a curious and historical name for the difference between a participant’s score in _____

A.   A group

B.   A group’s mean

C.   A group’s range

D.   Both a and b

16: Within Groups Variance is a measure of the _____ of participant’s score from the group’s mean.

A.   Sum of differences

B.   Square of differences

C.   Sum of the squared differences

D.   None of these