NOTE: Each chapter begins with "Where You've Been" and "Where You're Going" features. Each chapter concludes with Chapter Summary, Review Exercises, Chapter Quiz, and Chapter Test.

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

  1. 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 
  2. Discrete Probability Distributions 
    • 4.1 Probability Distributions 
    • 4.2 Binomial Distributions 
    • 4.3 More Discrete Probability Distributions 
  3. 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

  1. Confidence Intervals
    • 6.1 Confidence Intervals for the Mean (Known) 
    • 6.2 Confidence Intervals for the Mean (Unknown) 
    • 6.3 Confidence Intervals for Population Proportions 
    • 6.4 Confidence Intervals for Variance and Standard Deviation 
  2. Hypothesis Testing with One Sample
    • 7.1 Introduction to Hypothesis Testing 
    • 7.2 Hypothesis Testing for the Mean (Known) 
    • 7.3 Hypothesis Testing for the Mean (Unknown) 
    • 7.4 Hypothesis Testing for Proportions 
    • 7.5 Hypothesis Testing for Variance and Standard Deviation
  3. 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

  1. Correlation and Regression 
    • 9.1 Correlation 
    • 9.2 Linear Regression 
    • 9.3 Measures of Regression and Prediction Intervals 
    • 9.4 Multiple Regression 
  2. Chi-Square Tests and theF-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
  3. 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 MyMathLab for School.

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