What is the relationship between t and F if both are performed for a two-group test?

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What is the relationship between t and F if both are performed for a two-group test? (Points : 1)

ANOVA will have the lower rate of type I error.        t = F        t will have less error variance.        t2 = F

 

Question 2. 2. The number of sets of measures that a within-subjects F will accommodate is ___________. (Points : 1)

one        two        two or more        three or more

 

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Question 3. 3. The within-subjects F is the non-independent groups equivalent of the one-way ANOVA. (Points : 1)

True        False

 

 

Question 4. 4. Repeated measures designs reduce error variance as long as the scores are correlated. (Points : 1)

True        False

 

 

Question 5. 5. The equivalent in the F ratio of SEd in the t ratio is _______. (Points : 1)

MSwith        SSwith        MSbet        SSbet

 

 

Question 6. 6. Post-hoc tests identify the location of significant differences in an ANOVA. (Points : 1)

True        False

 

 

Question 7. 7. The independent variable in either a before/after t or a within subjects F is always of what data scale? (Points : 1)

Nominal        Ordinal        Interval        Ratio

 

 

Question 8. 8. The test statistic in ANOVA is which ratio? (Points : 1)

Error variance divided by variance within groups        Between groups variance divided by error variance        Total variability divided by error variance        Error variance divided by between groups variance

 

 

Question 9. 9. What is the highest value eta-square can have? (Points : 1)

There is no upper limit.        1.0        .5        .25

 

 

Question 10. 10. If a one-way ANOVA and a within-subjects F were calculated for the same set of data, how would the SStot values compare? (Points : 1)

SStot for the one-way ANOVA would be larger.        The SStot values would be the same for each test.        The SStot for the one-way ANOVA would be smaller.        The SStot for the within-subjects F would contain a larger portion of error.

 

 

 

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