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.

**Coverage**

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.

**Resources**

Notation and formulas

Vocabulary

R functions to know

Practice test

Previous exam (solutions)

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

*Labs and Homework*

Week | Lab Outline | Homework Solutions |

1 | ||

2 | ||

3 | ||

4 | ||

5 | ||

6 | ||

7 | ||

8 | ||

9 | ||

10 | ||

11 | ||

12 | ||

13 |

*Lectures*

Class # | Topic | Outline | Slides | Math |

1 | Introduction | ppt | ||

2 | Research Design | ppt | ||

3 | Goals of Statistics | pptx | ||

4 | Distributions | pptx | ||

5 | Central Tendency & Scale Types | ppt | ||

6 | Variability | ppt | ||

7 | z-scores | pptx | ||

8 | Probability & Estimation | ppt | ||

9 | Binomial Test | pptx | ||

10 | Distribution of Sample Means | pptx | ||

11 | One-sample t-test | pptx | ||

12 | Hypothesis Testing | pptx | ||

13 | Two-sample t-tests | pptx | ||

14 | Effect Size | pptx | ||

15 | 3 Views of Inferential Statistics | pptx | ||

16 | Correlation | pptx | ||

17 | Regression | pptx | ||

18 | Analysis of Variance | pptx | ||

19 | Repeated Measures | pptx | ||

20 | Factorial ANOVA | pptx | ||

21 | Distributions of Nominal Variables | pptx | ||

22 | Non-parametric tests | pptx |