What is Stated by the alternative hypothesis (H1) for an Anova?
a) there are no differences between any of the populations
b) at least one of the population means is different from another mean
c) all of the populations means are different from eachother
d) none of the above
In analysis of variance, what is measured by the MS values?
a) the mean variability in the sample
b) the mean varibiality in the population
c) the mean difference in the sample
d) the mean difference in the effect of the population
An F value near 1 is an indication that the null hypothesis is likelty to be true. T or F
For an analysis of variance comparing three treatments means, H1 states that all three are different. T or F
In a repeated measures ANOVA, what happens to the individual differences between different levels of a factor?
a) they do not exist because the same individuals participate in all of the treatments
b) they are measured and subtracted out
c) they are measured and included in the numerator
d) none of the above
In a repeated measures ANOVA, what happens to the individual differences within the levels of a factor?
a) they do not exist because the same individuals participate in all of the treatments
b) they are measured and subtracted out
c_ they are measured and included in the numerator
d) none of the above
the total variability is seperated into between and within treatment variability in both repeated measures anova and independent measures anova. T or F
when the null is true, the F value in a repeated measures anova is expected to be approx. 1 . T or F
In factorial ANOVA, two factors are said to interact when __
a) the effect of one factor on the dependent variable depends on the effect of a second factor
b) both factors are equally influenced by a third factor
c) the two factors are affected by a third variable differently
d) both factors produce the same change in subjects scores
SS__ measures the variability of all the values in a data set
a) between treatments
b) error
c) axb
d) total
SS__ measures the avg variability of values within each factor level
a) between treatments
b) error
c) axb
d) total
An ANOVA tells you whether or no there is a treatment effect, and between factor levels this treatment effect is and is not significant. T or F