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

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