8.I conduct a factorial study with gender (male or female), age (young or old) and their interaction as predictors of depressive symptoms. I find that age is significantly predictive of depressive symptoms with a p value of .01. This means
a. There is a 1% chance that my data represent the null distribution
b. there is a 99% chance that my data represent the null distribution
c. that I can reject at an alpha of .01 but not at .05
d. none of the answers are correct.
9. A factorial ANOVA is an ANOVA design that includes
a.within groups variance as the denominator for the F test
b.a variable that represents the interaction between two predictors
c.At least two independent predictors
d.all the answers are correct
10.A researcher is examining the influence of type of major (psychology, engineering, and music) and class level (Junior, Senior) on reported stress. There are 10 students in each group.
SSbg = 70
SSA (major)= 20
SSB (class) = 30
SSA*B (class*major)= 20
SSwg = 140
What is the F value for the test of the influence of major?
a.10
b.3.86
c.2.59
d.there is not enough information to tell
11.I have a study using body mass index (lo, medium, hi) and age (young or old) are predictors of heart disease. I find that older people with lo BMI are at low risk for heart disease.
What does this tell me about the influence of BMI alone?
a.It means that hi BMI will be predictive of poor outcomes
b.It means that lo BMI in young people is also going to be significant
c.Nothing
d.It means that BMI is a significant predictor
12.I have a factorial design using age (young or old) and income (lo or hi) to predict to life satisfaction. I find that I have a significant finding for age. This means
a.that the p value associated with my F test is very large--close to 100%
b.That age is significantly related to life satisfaction
c.that income cannot be significant
d.that I need a posthoc test
13.A researcher is examining the influence of type of major (psychology, engineering, and music) and class level (Junior, Senior) on reported stress. There are 10 students in each group.
SSbg = 70
SSA (major)= 20
SSB (class) = 30
SSA*B (class*major)= ?
SSwg = 140
What is the F value for the test of the influence of class level?
a.11.58
b.3.86
c.2.59
d.there is not enough information to tell
14.In Factorial ANOVA the term factor means
a.predictor
b.none of the answers are correct
c.level
d.sum of squares
15.In factorial design we start with between groups variation and within groups variation and then
a.none of the answers are correct
b.we break within groups variation down into between persons variation and error variation
c.we cant do anything further.
d.we break between groups variation down into variation due to specific predictors
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