Elementary Statistics: Picturing the World, Global Edition

<ul><li><strong>I. DESCRIPTIVE STATISTICS</strong> </li><li>1. Introduction to Statistics </li><li>1.1 An Overview of Statistics </li><li>1.2 Data Classification </li><li>1.3 Data Collection and Experimental Design </li><li>2. Descriptive Statistics </li><li>2.1 Frequency Distributions and Their Graphs </li><li>2.2 More Graphs and Displays </li><li>2.3 Measures of Central Tendency </li><li>2.4 Measures of Variation </li><li>2.5 Measures of Position </li><li><strong>II. PROBABILITY AND PROBABILITY DISTRIBUTIONS</strong> </li><li>3. Probability </li><li>3.1 Basic Concepts of Probability and Counting </li><li>3.2 Conditional Probability and the Multiplication Rule </li><li>3.3 The Addition Rule </li><li>3.4 Additional Topics in Probability and Counting </li><li>4. Discrete Probability Distributions </li><li>4.1 Probability Distributions </li><li>4.2 Binomial Distributions </li><li>4.3 More Discrete Probability Distributions </li><li>5. Normal Probability Distributions </li><li>5.1 Introduction to Normal Distributions and the Standard Normal Distribution </li><li>5.2 Normal Distributions: Finding Probabilities </li><li>5.3 Normal Distributions: Finding Values </li><li>5.4 Sampling Distributions and the Central Limit Theorem </li><li>5.5 Normal Approximations to Binomial Distributions </li><li><strong>III. STATISTICAL INFERENCE</strong> </li><li>6. Confidence Intervals </li><li>6.1 Confidence Intervals for the Mean (S Known) </li><li>6.2 Confidence Intervals for the Mean (S Unknown) </li><li>6.3 Confidence Intervals for Population Proportions </li><li>6.4 Confidence Intervals for Variance and Standard Deviation </li><li>7. Hypothesis Testing with One Sample </li><li>7.1 Introduction to Hypothesis Testing </li><li>7.2 Hypothesis Testing for the Mean (S Known) </li><li>7.3 Hypothesis Testing for the Mean (S Unknown) </li><li>7.4 Hypothesis Testing for Proportions </li><li>7.5 Hypothesis Testing for Variance and Standard Deviation </li><li>8. Hypothesis Testing with Two Samples </li><li>8.1 Testing the Difference Between Means (Independent Samples, S1 and S2 Known) </li><li>8.2 Testing the Difference Between Means (Independent Samples, S1 and S2 Unknown) </li><li>8.3 Testing the Difference Between Means (Dependent Samples) </li><li>8.4 Testing the Difference Between Proportions </li><li><strong>IV. MORE STATISTICAL INFERENCE</strong> </li><li>9. Correlation and Regression </li><li>9.1 Correlation </li><li>9.2 Linear Regression </li><li>9.3 Measures of Regression and Prediction Intervals </li><li>9.4 Multiple Regression </li><li>10. Chi-Square Tests and the F -Distribution </li><li>10.1 Goodness-of-Fit Test </li><li>10.2 Independence </li><li>10.3 Comparing Two Variances </li><li>10.4 Analysis of Variance </li><li><strong>APPENDICES </strong></li><li>Appendix A: Alternative Presentation of the Standard Normal Distribution </li><li>Appendix B: Tables</li></ul>