Question 1. The one-way ANOVA can accommodate any number of independent variables.
True
False
Question 2. The sum of squares, the standard deviation, the variance, and the range are all measures of data variability.
True
False
Question 3. What is the relationship between t and F if both are performed for a two-group test?
ANOVA will have the lower rate of type I error.
t = F
t will have less error variance.
t2 = F
Question 4. Which of the following is a primary source of error variance?
Differences in the level of the treatment applied
Differences within the groups involved
The independence of the groups involved in the analysis
Differences in sample size
Question 5. When the dependent groups tests use matched pairs, what is it that is matched?
Subjects are matched on the degree of error variance each one manifests.
Subjects are matched so that each pair receives the same treatment.
Subjects are matched on variables other than the IV that affect the DV.
Subjects are matched so that there are no differences in the level of the DV.
Question 6. What is the highest value eta-square can have?
There is no upper limit.
1.0
.5
.25
Question 7. The within-subjects F is the dependent groups equivalent to what independent groups test?
The independent t-test
The one-way ANOVA
The one sample t-test
The z-test
Question 8. The independent variable in either a before/after t or a within subjects F is always of what data scale?
Nominal
Ordinal
Interval
Ratio
Question 9. How is the error term in the within-subjects F determined?
All variance minus the variance related to measure-to-measure differences
The measure-to-measure differences minus the residual variability
The residual variability minus the treatment effect
All variance minus the treatment effect minus the subject-to-subject differences
Question 10. The eta-squared statistic _____________.
provides a measure of practical importance
indicates the ratio of treatment effect to error variability
indicates which set of scores are significantly different from which
provides a test of the probability of committing a decision error.