I. DESCRIPTIVE STATISTICS

• Introduction to Statistics
  • 1.1 An Overview of Statistics
  • 1.2 Data Classification
  • 1.3 Data Collection and Experimental Design
• 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

• II. PROBABILITY AND PROBABILITY DISTRIBUTIONS

• 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
• Discrete Probability Distributions
  • 4.1 Probability Distributions
  • 4.2 Binomial Distributions
  • 4.3 More Discrete Probability Distributions
• 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

• III. STATISTICAL INFERENCE

• Confidence Intervals
  • 6.1 Confidence Intervals for the Mean (S Known)
  • 6.2 Confidence Intervals for the Mean (S Unknown)
  • 6.3 Confidence Intervals for Population Proportions
  • 6.4 Confidence Intervals for Variance and Standard Deviation
• Hypothesis Testing with One Sample
  • 7.1 Introduction to Hypothesis Testing
  • 7.2 Hypothesis Testing for the Mean (S Known)
  • 7.3 Hypothesis Testing for the Mean (S Unknown)
  • 7.4 Hypothesis Testing for Proportions
  • 7.5 Hypothesis Testing for Variance and Standard Deviation
• Hypothesis Testing with Two Samples
  • 8.1 Testing the Difference Between Means (Independent Samples, S1 and S2 Known)
  • 8.2 Testing the Difference Between Means (Independent Samples, S1 and S2 Unknown)
  • 8.3 Testing the Difference Between Means (Dependent Samples)
  • 8.4 Testing the Difference Between Proportions

• IV. MORE STATISTICAL INFERENCE

• Correlation and Regression
  • 9.1 Correlation
  • 9.2 Linear Regression
  • 9.3 Measures of Regression and Prediction Intervals
  • 9.4 Multiple Regression
• 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
• Nonparametric Tests (Web 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 at www.pearson.com/math-stats-resources and in MyLab Statistics.

  APPENDICES

  • A. Alternative Presentation of the Standard Normal Distribution
  • B. Tables
  • C. Normal Probability Plots