Final Exam Study Guide

9:30 lecture: Sun Dec 11, 4:30-7p
11:00 lecture: Tue Dec 13, 4:30-7p

What to bring
Bring a calculator and something to write with. A pen is fine but a pencil with eraser will be better. Notes are not allowed.

The exam will cover the entire semester: every lecture, the entire textbook, and all thirteen labs.

Study Recommendations
1. Be sure you have done all the readings, and review the notes from the lectures and labs.
2. Go through the list of notation and formulas, the vocabulary list, and the list of R functions.
3. If you understand everything in Step 2, you should be able to get an A on the exam.
4. For anything in Step 2 you don't understand, go back to the lecture outline, textbook, math notes, or lab outline.
5. Use the practice test and textbook questions to make sure you're ready.


Notation and formulas
R functions to know
Practice test
Previous exam (solutions)

Readings. Readings include the entire textbook: Chapters 1-20.

Labs and Homework
WeekLab OutlineHomework Solutions
1pdf pdf
2pdf pdf
3pdf pdf
4pdf pdf
5pdf pdf
6pdf pdf
7pdf pdf
8pdf pdf
9pdf pdf
10pdf pdf
11pdf pdf
12pdf pdf
13pdf pdf

Class #TopicOutlineSlidesMath
1 Introduction pdfppt
2 Research Design pdfppt
3 Goals of Statistics pdfpptx
4 Distributions pdfpptx pdf
5 Central Tendency & Scale Types pdfppt pdf
6 Variability pdfppt pdf
7 z-scores pdfpptx pdf
8 Probability & Estimation pdfppt pdf
9 Binomial Test pdfpptx pdf
10 Distribution of Sample Means pdfpptx pdf
11 One-sample t-test pdfpptx pdf
12 Hypothesis Testing pdfpptx pdf
13 Two-sample t-tests pdfpptx pdf
14 Effect Size pdfpptx pdf
15 3 Views of Inferential Statistics pdfpptx
16 Correlation pdfpptx pdf
17 Regression pdfpptx pdf
18 Analysis of Variance pdfpptx pdf
19 Repeated Measures pdfpptx pdf
20 Factorial ANOVA pdfpptx pdf
21 Distributions of Nominal Variables pdfpptx
22 Non-parametric tests pdfpptx