2.fp= .06 and alpha is .01, we can reject the null.

True

False

5.What types of variables are used in ANOVA, and how are they used?

That is, are scaled and/or categorical variables used, and are they IVs and/or DVs

a.the IV is scaled, the DV is categorical

b.there is no IV, both DVs are scaled

c.the IV is categorical, the DV is scaled

d.the IV is categorical, the DV is categorical

8.I want to determine whether college GPA and income 5 years later are related, I should use

a.A pearson r

b.factorial design

c.a oneway anova

d.a chi squared test for independence

10.I have sample data on car mileage in a group of cars, and I want to compare it to the national reported average mileage for that type of car. I should use

a.An independent measures T test

b.a univivariate analysis of variance

c.A one sample T test

d.a repeated measures T test

13.which of the following below is a scaled variable, stating how it would be used in a factorial design

a.none of the answers are correct

b.income in dollars and cents a ranked variable. it would be used to predict educational rank and marital status as outcomesin a factorial design

c.income in dollars and cents is a categorical variable. It would be used to predict to education in years in a factorial design.

d.income in dollars and cents is a scaled variable. race/ethnicityandeducation status (hs or college), and their interaction would be used to predict to income as an outcome in a factorial design.

14.Which of the below is a categorical variable, stating how it would be used in an independent samples t test?

a.married or unmarried as a predictor of emplooyment status yes or no

b.income in dollars and cents as a predictor of life satisfaction

c.depressive symptoms as a predictor of employment status yes or no.

d.dog or cat, as a predictor of weight in pounds and ounces

17.I want to examine whether two interval or ratio level variables are related to one another.What type of test should I use?

a.a spearman r correlation

b.a point bi-serial correlation

c.a pearson r correlation

d.a chi squared test for independence