Arnold Kling's AP Statistics Course

Useful Links

- YouTube Videos
- homework hints
- virtual handouts (quizzes)

"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."

--Hal Varian, chief economist, Google.

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If you see anything on this web site that pertains to grading, assignments, or classroom policy, that information is **out of date** and no longer applicable to the course as I teach it currently (if I am still teaching it).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.

- Why you should take AP Statistics
- Introduction to Probability
- Two Events and Conditional Probability
- Random Variables
- Mean, Variance, and Standard Deviation
- Transformations of Random Variables
- Working with the Normal Distribution
- Binomial Distribution
- Sampling Distributions
- Confidence Intervals
- Hypothesis Tests
- More on Hypothesis Tests
- t Tests
- C
^{2}Tests (note: no audio) - Linear Regression
- Topics in Regression
- review lecture (includes data description and experimental design)

project on Montgomery County schools.

"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

- Introduction
- Sample Space
- Coins and Independence
- Failure Models
- Dice
- Probability Rules
- Logic and Probability
- Conditional Probability
- Bayes' Theorem
- Contingency Tables
- Random Variables
- Remarks on Random Variables
- The Expectation Operator
- Mean and Variance
- Convexity
- The Binomial Distribution
- The Geometric Distribution
- Review of random variables, mean, variance, binomial, and geometric
- The Uniform Distribution
- The Normal Distribution
- Working with the Normal Distribution
#### Part II: Statistical Methods

- Sampling Distributions
- Chapter 9 Review and Cheat Sheet
- The Central Limit Theorem
- Confidence Intervals
- Hypothesis Testing
- Summary of Chapter 10
- Review of Chapter 10
- Introduction to t tests
- Degrees of Freedom
- A t-test cookbook
- A Chart for t-tests and z-tests
- Chi-square tests
- Regression
- Regression Output (Microsoft Excel)
#### Part III: Simulation, Design, and Descriptive Statistics

- Simulation
- Experimental Design
- March Madness
- AP Study Outline

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.

- Chapter 6
- Chapter 6 2005
- Chapters 7 and 8
- Chapter 2
- Chapter 9
- Cumulative review--chapter 6
- Cumulative review--chapters 7 and 8
- Cumulative review--chapters 2 and 9
- Chapter 10
- Cumulative review after chapter 10
- Chapters 11 and 12
- For mid-term (mostly hypothesis testing and t-tests)
- Review Questions for Data Description
- Review Questions for Experimental Design
- Review Questions for Probability
- Review Questions for Statistical Inference
- Review Questions for Regression

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