## Table of Contents

**1. Introduction to Statistics**

Overview

Types of Data

Critical Thinking

Design of Experiments

Introduction to the TI-83/84 Plus Calculator

**2. Summarizing and Graphing Data**

Overview

Frequency Distributions

Histograms

Statistical Graphics

**3. Statistics for Describing, Exploring, and Comparing Data**

Overview

Measures of Center

Measures of Variation

Measures of Relative Standing

Exploratory Data Analysis (EDA)

**4. Probability**

Overview

Fundamentals

Addition Rule

Multiplication Rule: Basics

Multiplication Rule: Complements and Conditional Probability

Probabilities Through Simulations

Counting

Bayes’ Theorem (on CD-ROM)

**5. Probability Distributions**

Overview

Random Variables

Binomial Probability Distributions

Mean, Variance, and Standard Deviation for the Binomial Distribution

The Poisson Distribution

**6. Normal Probability Distributions**

Overview

The Standard Normal Distribution

Applications of Normal Distributions

Sampling Distributions and Estimators

The Central Limit Theorem

Normal as Approximation to Binomial

Assessing Normality

**7. Estimates and Sample Sizes**

Overview

Estimating a Population Proportion

Estimating a Population Mean: σ Known

Estimating a Population Mean: σ Not Known

Estimating a Population Variance

**8. Hypothesis Testing**

Overview

Basics of Hypothesis Testing

Testing a Claim About a Proportion

Testing a Claim About a Mean: σ Known

Testing a Claim About a Mean: σ Not Known

Testing a Claim About Variation

**9. Inferences from Two Samples**

Overview

Inferences About Two Proportions

Inferences About Two Means: Independent Samples

Inferences from Matched Pairs

Comparing Variation in Two Samples

**10. Correlation and Regression**

Overview

Correlation

Regression

Variation and Prediction Intervals

Multiple Regression

Modeling

**11. Multinomial Experiments and Contingency Tables**

Overview

Multinomial Experiments: Goodness-of-Fit

Contingency Tables: Independence and Homogeneity

McNemar’s Test for Matched Pairs

**12. Analysis of Variance**

Overview

One-Way ANOVA

Two-Way ANOVA

**13. Nonparametric Statistics**

Overview

Sign Test

Wilcoxon Signed-Ranks Test for Matched Pairs

Wilcoxon Rank-Sum Test for Two Independent Samples

Kruskal-Wallis Test

Rank Correlation

Runs Test for Randomness

**14. Statistical Process Control**

Overview

Control Charts for Variation and Mean

Control Charts for Attributes

**15. Projects, Procedures, Perspectives**

Projects

Procedures

Perspectives

**Appendices**

Appendix A: Tables

Appendix B: Data Sets

Appendix C: Glossary

Appendix D: Bibliography

Appendix E: Answers to Odd-Numbered Exercises (and all Review Exercises and all Cumulative Review Exercises)

**Credits**** **

Index