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 (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
7. 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
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 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
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 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