The null hypothesis indicates there are no differences in population means across levels.

True

False

In a designed experiment, researchers control for various factors such as age, gender, or socioeconomic status.

True

False

The essence of the ANOVA procedure is that we compare the variation within the individual treatment levels to the variation between the sample means.

True

False

Bonferroni, Tukey, and Scheffe methods are three methods that expand confidence interval lengths to correct for the multiple comparison problem.

True

False

In a balanced design, equal number of experimental unit is assigned to each combination of treatment levels.

True

False

Interactions____

Indicate patterns of differences in means that could not be guessed from the main effects alone.

occur only in one-way ANOVA tests.

Occur when the effect of one factor on the dependent variable is independent of the level of other factors.

indicate the effect of one factor on the dependent variable is the same regardless of the level of the other factors.

Priti is wondering whether time of day impacts worker productivity. She randomly chooses 25 workers from each of the three shifts her company runs. The design of this study is

balanced

even

unbalanced

observational

The smaller the p-value in an ANOVA table, the greater the likelihood that the effect.

is statistically significant

is statistically insignificant

will be ignored

has no practical impact

Jeremiah is testing the impact of 3 different Super Bowl advertising appeals (i.e., fear, sex, and fun) on baby-boom generation spectators. Suppose he uses an ANOVA to test whether or not there are differences in effects. How many treatments are in this test?

Three

two

one

four

In a one-way ANOVA test, we conclude there are differences across population means if the____

between variation is large relative to the within variation.

between variation is small relative to the within variation

between variation and within variation are equal

between variation equals zero