PART ONE. 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 PART TWO. PROBABILITY & 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 PART THREE. STATISTICAL INFERENCE 6. Confidence Intervals 6.1. Confidence Intervals for the Mean (Υ Known) 6.2. Confidence Intervals for the Mean (Υ 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 (Υ Known) 7.3. Hypothesis Testing for the Mean (Υ 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, Υ1 and Υ2 Known) 8.2. Testing the Difference Between Means (Independent Samples, Υ1 and Υ2 Unknown) 8.3. Testing the Difference Between Means (Dependent Samples) 8.4. Testing the Difference Between Proportions PART FOUR. 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 11. Nonparametric Tests (Online and CD 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