Review Sheet for Exam 3

Estimation / Confidence Intervals

What are the differences & similarities between estimation & hypothesis testing?

What is a point estimate?

What is a confidence interval (interval estimate)?

Know how to compute a confidence interval for: (1) a single sample mean using the z-statistic and (2) the t-statistic, for (3) the difference between two independent samples, and for (4) the difference between 2 related (dependent) samples

Know how to compute a point estimate for: (1) a single sample mean using the z-statistic and (2) the t-statistic, for (3) the difference between two independent samples, and for (4) the difference between 2 related (dependent) samples

Understand how to interpret confidence intervals

Understand the tradeoff between precision & confidence

One-way Analysis of Variance (Chapter 16)

Factor & “levels” of a factor

Understand the logic of the F-ratio in ANOVA

Why would we expect an F»1.0 when H0 is true?

Understand between-group variance & within-group variance

Understand conceptually SStotal, SSerror, and SSgroup

What are the properties of the sampling distribution of F?

Know how to compute & interpret an ANOVA

You should be able to read about a study & identify the independent variable (IV), the “levels” of the IV, & the dependent variable

Know how to write H0 & H1 for a one-way ANOVA

You should be able to complete an ANOVA summary table if you're given partial information

Know how to conduct protected t (LSD) tests

Know when you should perform protected t (LSD) tests

Know how to report the results of an ANOVA & protected t (LSD) tests in APA format

What does a significant F-test allow you to conclude ( what can you NOT conclude)?

When do we use ANOVA (F) rather than t? Why can't we do a bunch of t-tests instead of an ANOVA?

What are the assumptions of one-way analysis of variance?

two-way anova (Chapter 17)

Know what notation like 2 X 2 & 2 X 3 means

Know the reasons why one might choose to do a 2-way ANOVA

You should be able to read about a study & identify the independent variables (IV’s), the “levels” of the IV’s, & the dependent variable

Know what an interaction is conceptually, be able to draw an example of an interaction and/or identify an interaction from a graph of means

Know what a main effect is conceptually, be able to draw an example of a main effect and/or identify a main effect from a graph of means

Know what marginal means are and why/when you’d examine them

Know how to write H1 & H0 for main effect & interaction hypothesis tests

Know how to interpret two-way ANOVA output from SPSS

You should be able to complete an ANOVA summary table if you're given

partial information

Know the difference between post-hocs and simple-effects tests. Know when

you use each and why, & know how to interpret the results of both types of tests

Know how to report the results of main effects, interactions, and multiple-comparison tests in APA format

The Big Picture

Know how to read a research description & select ( conduct) the appropriate statistical test!!!!

Be prepared to interpret SPSS output

Please bring the following to the exam:

·  Pencil & eraser

·  Calculator (non-graphing, non-pda, non-cell phone)