Chapter 1: Basic Ideas
1.1 Sampling
1.2 Types of Data
1.3 Design of Experiments
1.4 Bias in Study
Chapter 2: Graphical Summaries of Data
2.1 Graphical Summaries for Qualitative Data
2.2 Frequency Distributions and Their Graphs
2.3 More Graphs for Quantitative Data
2.4 Graphs Can Be Misleading
Chapter 3: Numerical Summaries of Data
3.1 Measures of Center Data
3.2 Measures of Spread
3.3 Measures of Position
Chapter 4: Summarizing Bivariate Data
4.1 Correlation
4.2 The Least-Squares Regression Line
4.3 Features and Limitations of the Least-Squares Regression Line
Chapter 5: Probability
5.1 Basic Ideas
5.2 The Addition Rule and the Rule of Compliments
5.3 Conditional Probability and the Multiplication Rule
5.4 Counting
Chapter 6: Discrete Probability Distributions
6.1 Random Variables
6.2 The Binomial Distribution
6.3 The Poisson Distribution
Chapter 7: The Normal Distribution
7.1 The Standard Normal Curve
7.2 Applications of the Normal Distribution
7.3 Sampling Distributions and the Central Limit Theorem
7.4 The Central Limit Theorem for Proportions
7.5 The Normal Approximation to the Binomial Distribution
7.6 Assessing Normality
Chapter 8: Confidence Intervals
8.1 Confidence Intervals for a Population Mean, Standard Deviation Known
8.2 Confidence Intervals for a Population Mean, Standard Deviation Unknown 8.3 Confidence Intervals for a Population Proportion
8.4 The Central Limit Theorem for Proportions
8.5 Determining Which Method to Use
Chapter 9: Hypothesis Testing
9.1 Basic Principles of Hypothesis Testing
9.2 Hypothesis Tests for a Population Mean, Standard Deviation Known
9.3 Hypothesis Tests for a Population Mean, Standard Deviation Unknown
9.4 Hypothesis Tests for Proportions
9.5 Hypothesis Tests for a Standard Deviation
9.6 Determining Which Method to Use
9.7 Power
Chapter 10: Two-Sample Confidence Intervals
10.1 Confidence Intervals for the Difference Between Two Means: Independent Samples
10.2 Confidence Intervals for the Difference Between Two Proportions
10.3 Confidence Intervals for the Difference Between Two Means: Paired Sample
Chapter 11: Two-Sample Hypothesis Tests
11.1 Hypothesis Tests for the Difference Between Two Means: Independent Samples
11.2 Hypothesis Tests for the Difference Between Two Proportions
11.3 Hypothesis Tests for the Difference Between Two Means: Paired Samples 11.4 Hypothesis Tests for Two Population Standard Deviations
11.5 The Multiple Testing Problem
Chapter 12: Tests with Qualitative Data
12.1 Testing Goodness-of-Fit
12.2 Tests for Independence and Homogeneity
Chapter 13: Inference in Linear Models
13.1 Inference on the Slope of the Regression Line
13.2 Inference About the Response
Chapter 14: Analysis of Variance
14.1 One-way Analysis of Variance
14.2 Two-way Analysis of Variance