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Multiple Choice Quiz II
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1

A statistically significant outcome is one that has ________likelihood of occurring if the null hypothesis is true.
A)no
B)a significant
C)a large
D)a small
2

A research outcome that leads us to reject the null hypothesis is said to be
A)statistically nonsignificant.
B)statistically inconsequential.
C)statistically significant.
D)statistically likely.
3

A Type II error arises when we
A)reject a true null hypothesis.
B)accept a true null hypothesis.
C)fail to reject a false null hypothesis.
D)fail to accept a true null hypothesis.
4

The probability of a Type I error can be reduced by
A)decreasing the probability of a Type II error.
B)changing alpha from .05 to .01.
C)changing alpha from .05 to .10.
D)accepting the null hypothesis.
5

The likelihood that a statistical test will permit researchers to correctly reject a false null hypothesis is called the ______________of a test.
A)significance
B)power
C)criterion
D)alpha level
6

When conducting an analysis of variance, we assume that any systematic variation due to the effect of the independent variable is added to
A)within group variation.
B)between group variation.
C)the denominator of the F ratio.
D)the null hypothesis.
7

In an analysis of variance for repeated measures the systematic variation due to participants is
A)combined with between group variation.
B)eliminated from the analysis.
C)combined with residual variation.
D)added to the denominator of the F ratio.
8

If the omnibus analysis of variance for a complex design does not reveal a statistically significant interaction, the next step is to determine if the
A)simple main effects are statistically significant.
B)overall main effects are statistically significant.
C)simple interaction is statistically significant.
D)simple comparisons are statistically significant.
9

When calculating eta squared for a two factor design, eta squared is equal to the sum of squares for the effect of interest divided by the sum of squares for the effect of interest and the
A)sum of squares between.
B)sum of squares within.
C)sum of squares total.
D)sum of squares within plus between.
10

A mixed design is a complex design where one independent variable represents an independent groups design (random groups or natural groups) and another independent variable represents
A)the repeated measures design.
B)a variable with only two levels.
C)a variable with more than three levels.
D)the correlational design.





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