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The major difference between t-tests and ANOVAs is that ANOVAs:
a. Deal with multiple groups.
b. Compare group variances.
c. Make different assumptions about the populations from which we sample.
d. None of the above.
An important assumption in a one-way ANOVA is that:
a. Observations are random.
b. Observations are independent.
c. Subjects are related.
d. There are equal numbers of observations in each group
Which is true regarding factorial ANOVA ?
a. A problem with this analysis is that the error term (SSwithin) is larger compared to oneway ANOVA.
b. A major advantage with this analysis is the ability to test for the interaction between treatment groups.
c. As in a one-way ANOVA, there is only one null hypothesis to be tested.
d. Factorial ANOVA cannot be used in nonexperimental research situations.
A fixed factor in a factorial ANOVA is one in which:
a. Levels of the factor represent a small percentage of all possible levels of the factor in the real world.
b. The experimenter is interested in only naturally occurring factors such as gender, not treatment factors.
c. The researcher includes all levels of a factor that are of interest in the study.
d. The treatment group variance is held constant.
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