2010 MasterMathAPStatistics

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  • (McAfee, 2010) ⇒ Gerry McAfee. (2010). “Master Math: AP Statistics, 1st Edition.” Course Technology Ptr. ISBN:1435456270

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Chapter 1. Exploring and Graphing Univariate Data

1.1 Describing Distributions
1.2 Displaying Data with Graphs

Chapter 2. Exploring and Graphing Bivariate Data

2.1 Scatterplots
2.2 Modeling Data

Chapter 3. Normal Distributions

3.1 Density Curves
3.2 Normal Distributions
3.3 Normal Calculations

Chapter 4. Samples, Experiments, and Simulations

4.1 Sampling
4.2 Designing Experiments
4.3 Simulation

Chapter 5. Probability

5.1 Probability and Probability Rules
5.2 Conditional Probability and Bayes’s Rule
5.3 Discrete Random Variables
5.4 Continuous Random Variables
5.5 Binomial Distributions
5.6 Geometric Distributions

Chapter 6. Sampling Distributions

6.1 Sampling Distributions
6.2 Sample Means and the Central Limit Theorem
6.3 Sample Proportions and the Central Limit Theorem

Chapter 7. Inference for Means

7.1 The t-Distributions
7.2 One-Sample t-Interval for the Mean
7.3 One-Sample t-Test for the Mean
7.4 Two-Sample t-Interval for the Difference Between Two Means
7.5 Two-Sample t-Test for the Difference Between Two Means
7.6 Matched Pairs (One-Sample t)
7.7 Errors in Hypothesis Testing
Type I, Type II, and Power

Chapter 8. Inference for Proportions

8.1 One-Sample z-Interval for Proportions
8.2 One-Sample z-Test for Proportions
8.3 Two-Sample z-Interval for Difference Between Two Proportions
8.4 Two-Sample z-Test for Difference Between Two Proportions

Chapter 9. Inference for Related Variables: Chi-Square Distributions

9.1 The Chi-Square Statistic
9.2 Chi-Square Test for Goodness of Fit
9.3 Chi-Square Test for Homogeneity of Populations
9.4 Chi-Square Test for Independence/Association

Chapter 10. Inference for Regression

10.1 The Regression Model
10.2 Confidence Intervals for the Slope ß
10.3 Hypothesis Testing for the Slope ß

Appendix A. Tables

Appendix B. Formulas

Formulas Given on the AP Exam
Formulas Not Given on the AP Exam

Appendix C. Assumptions and Conditions for Inference

One-sample t-interval or one-sample t-test
Two-sample t-interval or two-sample t-test
One-proportion z-interval or test
Two-proportion z-interval or test
Chi-square goodness of fit (one variable from one sample)
Chi-square test for homogeneity (samples from many populations)
Chi-square test for independence/association (one sample from one population classified on two variables)
Regression (t)

Appendix D. Glossary

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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2010 MasterMathAPStatisticsGerry McAfeeMaster Math: AP Statistics, 1st Edition2010