Elementary Statistics: Picturing the World, 9th edition

• (Note: Each chapter starts with Data Set, Where You’ve Been, and Where You’re Going. Each concludes with Chapter Summary, Review Exercises, Chapter Quiz, and Chapter Test.
• Index of Applications

I. DESCRIPTIVE STATISTICS

• 1. Introduction to Statistics
  • 1.1 An Overview of Statistics 
  • 1.2 Data Classification 
  • 1.3 Data Collection and Experimental Design 
• 2. Descriptive Statistics 
  • 2.1 Frequency Distributions and Their Graphs 
  • 2.2 More Graphs and Displays 
  • 2.3 Measures of Central Tendency 
  • 2.4 Measures of Variation 
  • 2.5 Measures of Position 
  • Cumulative Review: Chapters 1 & 2

II. PROBABILITY AND PROBABILITY DISTRIBUTIONS

• 3. Probability 
  • 3.1 Basic Concepts of Probability and Counting 
  • 3.2 Conditional Probability and the Multiplication Rule 
  • 3.3 The Addition Rule 
  • 3.4 Additional Topics in Probability and Counting 
• 4. Discrete Probability Distributions 
  • 4.1 Probability Distributions 
  • 4.2 Binomial Distributions 
  • 4.3 More Discrete Probability Distributions 
• 5. Normal Probability Distributions 
  • 5.1 Introduction to Normal Distributions and the Standard Normal Distribution 
  • 5.2 Normal Distributions: Finding Probabilities 
  • 5.3 Normal Distributions: Finding Values 
  • 5.4 Sampling Distributions and the Central Limit Theorem
  • 5.5 Normal Approximations to Binomial Distributions 
  • Cumulative Review: Chapters 3-5

III. STATISTICAL INFERENCE

• 6. Confidence Intervals
  • 6.1 Confidence Intervals for the Mean ( σ Known) 
  • 6.2 Confidence Intervals for the Mean ( σ Unknown) 
  • 6.3 Confidence Intervals for Population Proportions 
  • 6.4 Confidence Intervals for Variance and Standard Deviation 
• 7. Hypothesis Testing with One Sample
  • 7.1 Introduction to Hypothesis Testing 
  • 7.2 Hypothesis Testing for the Mean (σ Known) 
  • 7.3 Hypothesis Testing for the Mean (σ Unknown) 
  • 7.4 Hypothesis Testing for Proportions 
  • 7.5 Hypothesis Testing for Variance and Standard Deviation
• 8. Hypothesis Testing with Two Samples
  • 8.1 Testing the Difference Between Means (Independent Samples, 1 and 2 Known)
  • 8.2 Testing the Difference Between Means (Independent Samples, 1 and 2 Unknown)
  • 8.3 Testing the Difference Between Means (Dependent Samples)
  • 8.4 Testing the Difference Between Proportions
  • Cumulative Review: Chapters 6-8

IV. MORE STATISTICAL INFERENCE

• 9. Correlation and Regression 
  • 9.1 Correlation 
  • 9.2 Linear Regression 
  • 9.3 Measures of Regression and Prediction Intervals 
  • 9.4 Multiple Regression 
• 10. Chi-Square Tests and the F-Distribution
  • 10.1 Goodness-of-Fit Test 
  • 10.2 Independence 
  • 10.3 Comparing Two Variances 
  • 10.4 Analysis of Variance 
  • Cumulative Review: Chapters 9 & 10
• 11. Nonparametric Tests (Online Only)*
  • 11.1 The Sign Test
  • 11.2 The Wilcoxon Tests
  • 11.3 The Kruskal-Wallis Test
  • 11.4 Rank Correlation
  • 11.5 The Runs Test
  • * Available in MyLab Statistics

Appendix A:  Alternative Presentation of the Standard Normal Distribution 

• Standard Normal Distribution Table
• Alternative Presentation of the Standard Normal Distribution

Appendix B:  Tables

• Table 1 Random Numbers
• Table 2 Binomial Distribution
• Table 3 Poisson Distribution
• Table 4 Standard Normal Distribution
• Table 5 t-Distribution
• Table 6 Chi-Square Distribution
• Table 7 F-Distribution
• Table 8 Critical Values for the Sign Test
• Table 9 Critical Values for the Wilcoxon Signed-Rank Test
• Table 10 Critical Values for the Spearman Rank Correlation Coefficient
• Table 11 Critical Values for the Pearson Correlation Coefficient
• Table 12 Critical Values for the Number of Runs

Appendix C: Normal Probability Plots 

Appendix D: Key Formulas

Answers to the Try It Yourself Exercises

Answers to the Odd-Numbered Exercises

Index