The Practice of Statistics : TI-83/89 Graphing Calculator Enhanced Book

Preface Statistical Thinking

PART I. ORGANIZING DATA: LOOKING FOR PATTERNS AND DEPARTURES FROM PATTERNS
1. Exploring Data
1.1 Displaying Distributions with Graphs
1.2 Describing Distributions with Numbers

2. The Normal Distributions
2.1 Density Curves and the Normal Distribution
2.2 Standard Normal Calculations

3. Examining Relationships
3.1 Scatterplots
3.2 Correlation
3.3 Least-Squares Regression

4. More on Two-Variable Data
4.1 Transforming Relationships
4.2 Cautions about Correlation and Regression
4.3 Relations in Categorical Data

PART II. PRODUCING DATA: SAMPLES, EXPERIMENTS, AND SIMULATIONS
5. Producing Data
5.1 Designing Samples
5.2 Designing Experiments
5.3 Simulating Experiments

PART III PROBABILITY: FOUNDATIONS OF INFERENCE
6. Probability: The Study of Randomness
6.1 The Idea of Probability
6.2 Probability Models
6.3 General Probability Rules

7. Random Variables
7.1 Discrete and Continuous Random Variables
7.2 Means and Variances of Random Variables
• Revised treatment of rules for means and variances
• New subsection on combining normal random variables

8. The Binomial and Geometric Distributions
8.1 The Binomial Distributions
8.2 The Geometric Distributions

9. Sampling Distributions
9.1 Sampling Distributions
9.2 Sample Proportions
9.3 Sample Means

PART IV. INFERENCE: CONCLUSIONS WITH CONFIDENCE
10. Introduction to Inference
10.1 Estimating with Confidence
10.2 Tests of Significance
10.3 Making Sense of Statistical Significance
10.4 Inference as Decision

11. Inference for Distributions
11.1 Inference for the Mean of a Population
11.2 Comparing Two Means

12. Inference for Proportions
12.1 Inference for a Population Proportion
12.2 Comparing Two Proportions

13. Inference for Tables: Chi-Square Procedures
13.1 Test for Goodness of Fit
13.2 Inference for Two-Way Tables

14. Inference for Regression
14.1 Inference about the Model
14.2 Predictions and Conditions

15. Analysis of Variance
15.1 Inference for Population Spread
15.2 One-Way Analysis of Variance

Additional, optional, post-exam chapters on the student and instructor's CDs:
16. Multiple Linear Regression
17. Logistic Regression