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Each Chapter begins with an Overview)
1. Introduction to Statistics The Nature of Data
Uses and Abuses of Statistics
Design of Experiments
2. Describing, Exploring, and Comparing Data Summarizing Data with Frequency Tables
Pictures of Data
Measures of Center
Measures of Variation.
Measures of Position
Exploratory Data Analysis (EDA)
3. Probability Fundamentals
Addition Rule
Multiplication Rule: Basics
Multiplication Rule: Complements and Conditional Probability
Counting
4. Probability Distributions Random Variables
Binomial Probability Distributions
Mean, Variance, and Standard Deviation for the Binomial Distribution
5. Normal Probability Distributions The Standard Normal Distribution
Nonstandard Normal Distributions: Finding Probabilities
Nonstandard Normal Distributions: Finding Values
The Central Limit Theorem
Normal Distribution as Approximation to Binomial Distribution
6. Estimates and Sample Sizes Estimating a Population Mean: Large Samples
Estimating a Population Mean: Small Samples
Determining Sample Size
Estimating a Population Proportion
Estimating a Population Variance
7. Hypothesis Testing Fundamentals of Hypothesis Testing
Testing a Claim about a Mean: Large Samples
Testing a Claim about a Mean: Small Samples
Testing a Claim about a Proportion
Testing a Claim about a Standard Deviation or Variance
8. Inferences from Two Samples Inferences about Two Means: Independent and Large Samples
Inferences about Two Means: Matched Pairs
Inferences about Two Proportions
9. Correlation and Regression Correlation
Regression
Variation and Prediction Intervals
10. Chi-Square and Analysis of Variance Multinomial Experiments: Goodness-0f-Fit
Contingency Tables: Independence and Homogeneity
One-Way ANOVA
Appendices Appendix A: Tables
Appendix B: Data Sets
Appendix C: TI-83 Plus Reference
Appendix D: Answers to Odd-Numbered Exercises (and All Review Chapter Exercises and All Cumulative Review Exercises)
Credits 