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
• 3.4. 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 (Large Samples)
• 6.2. Confidence Intervals for the Mean (Small Samples)
• 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 (Large Samples)
• 7.3. Hypothesis Testing for the Mean (Small Samples)
• 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 (Large Independent Samples)
• 8.2. Testing the Difference Between Means (Small Independent Samples)
• 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

• 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

11. Introduction to Calculus

• 11.1 Finding Limits Using Tables and Graphs
• 11.2 Finding Limits Using Properties of Limits
• 11.3 Limits and Continuity
• Mid-Chapter Check Point
• 11.4 Introduction to Derivatives
• SUMMARY, REVIEW, AND TEST
REVIEW EXERCISES
CHAPTER 11 TEST
CUMULATIVE REVIEW EXERCISES  (CHAPTERS P-11)