Arnold Kling's AP Statistics Course

"If you are looking for a career where your services will be in high demand, you should find something where you provide a scarce, complementary service to something that is getting ubiquitous and cheap. So what's getting ubiquitous and cheap? Data. And what is complementary to data? Analysis. So my recommendation is to take lots of courses about how to manipulate and analyze data: databases, machine learning, econometrics, statistics, visualization, and so on."

This used to be the main web page for my AP stats course. If you see anything on this web site that pertains to grading, assignments, or classroom policy, that information is out of date and no longer applicable to the course as I teach it currently (if I am still teaching it). The course covers probability, statistical inference, data description, and experimental design. The list of assignments is here.

### Lecture Notes with Audio

"My observation is this: if a course has a critical mass of good-natured, smart, and vocal students, it works well, and my evaluations are the better for it."
--Harry Brighouse

### Handouts

#### Part I: Probability and Distribution Functions

For a combined set of all lectures and practice problems pertaining to chapter 6, click here. For chapter 7 (an updated version of the lectures on random variables), click here.

1. Introduction
2. Sample Space
3. Coins and Independence
4. Failure Models
5. Dice
6. Probability Rules
7. Logic and Probability
8. Conditional Probability
9. Bayes' Theorem
10. Contingency Tables
11. Random Variables
12. Remarks on Random Variables
13. The Expectation Operator
14. Mean and Variance
15. Convexity
16. The Binomial Distribution
17. The Geometric Distribution
18. Review of random variables, mean, variance, binomial, and geometric
19. The Uniform Distribution
20. The Normal Distribution
21. Working with the Normal Distribution

#### Part II: Statistical Methods

22. Sampling Distributions
23. Chapter 9 Review and Cheat Sheet
24. The Central Limit Theorem
25. Confidence Intervals
26. Hypothesis Testing
27. Summary of Chapter 10
28. Review of Chapter 10
29. Introduction to t tests
30. Degrees of Freedom
31. A t-test cookbook
32. A Chart for t-tests and z-tests
33. Chi-square tests
34. Regression
35. Regression Output (Microsoft Excel)

#### Part III: Simulation, Design, and Descriptive Statistics

36. Simulation
37. Experimental Design
39. AP Study Outline

#### Discussion Section Problems

Some other useful web sites are Washington University stats and David M. Lane's hyperstat.