Question

 

 

•Steps for hypothesis testing

 

•What does the alpha level signify? What is the critical region? What happens to the

critical region if alpha increases/decreases? What effect does changing alpha have on

your hypothesis test decision?

 

•Null and alternative hypotheses – what they are, how to construct them for all tests we’ve

covered, and how they differ for one- vs two-tailed tests

 

•How to find the critical values for z, t (one- and two-tailed) and F.

 

•Type I vs Type II errors

 

•Relationship of Type I errors and alpha levels

 

•What does changing sample size (assuming everything else is held constant) do to: 1)

error terms; 2) critical values; 3) test statistics; 4) effect size

 

•What does an increase/decrease in variance (assuming everything else is held constant)

do to: 1) error terms; 2) critical values; 3) test statistics; 4) effect size

 

•What does a larger/smaller difference in means (assuming everything else is held

constant) do to: 1) error terms; 2) critical values; 3) test statistics; 4) effect size

 

•Differences between directional and non-directional t-tests (hypotheses, critical values)

 

•Cohen’s d, r2, and confidence intervals for all t-tests

 

•η2 for ANOVAs

 

•How to identify a small, medium, or large effect size

 

•Identifying when a z-test, one-sample t-test, two-sample t-test, or ANOVA is best

 

•Independent measures design vs repeated/related samples design

 

•What is a matched-sample design? What kind of test(s) would we use?

•How to write a conclusive summary, including the proper way to report the test statistics.

 

•Notation. If I show you something like sp2, s(M1-M2), or SSBS, can you tell what test it’s

from?

 

•What is a difference score?

 

•How to construct an ANOV A table

 

•How to perform post-hoc tests using Tukey’s HSD (know how to use the q table)

 

•Vocab: Independent variables, dependent variables, factors, and levels

 

•Why don’t we run multiple t-tests when we have multiple groups instead of an ANOVA?

 

•Systematic vs unsystematic variance

 

•Between-treatments variance vs within-treatments variance

 

•The role of individual differences in independent vs repeated measures

Answer 1