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 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 III. STATISTICAL INFERENCE 6. 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 7. 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 8. 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 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 APPENDICES Appendix A: Alternative Presentation of the Standard Normal Distribution Appendix B: Tables

This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States. Features and pedagogy that support guided student learning · New and Revised - Exercises: Over 40% of the more than 2,300 exercises are new or revised. · New - Tech Tips: Technology tips now appear in most sections. These tips show how to use Minitab, Excel, the TI-84 Plus, and StatCrunch to solve a problem. · A variety of review and assessment features conclude each chapter, including a Chapter Summary, Review Exercises, Quiz, and Test. Students also have access to four Cumulative Reviews throughout the text. · Page Layout: Statistics instruction is more accessible when it is carefully formatted on each page with a consistent, open layout. This text is the first college-level statistics book to be written so that, when possible, its features are not split from one page to the next, resulting in a cleaner and clearer presentation. Real-life examples, exercises, and projects that help students picture the world using statistics · New and Revised - About 60% of the chapter features and examples are new or revised to maintain currency and student engagement. These include: o Chapter Case Studies – Each chapter has a Case Study featuring actual data from a real-world context and questions that illustrate the important concepts of the chapter. o Real Statistics - Real Decisions: Putting It All Together — This feature encourages students to think critically and make informed decisions about real-world data. Exercises guide students from interpretation to drawing of conclusions. o Chapter Technology Projects — Each chapter has a Technology project using Minitab, Excel, and the TI-84 Plus that gives students insight into how technology is used to handle large data sets or real-life questions. · The variety of real-life applications are representative of the majors of students taking introductory statistics courses. Applications are both authentic and accessible, so that statistics comes alive and appears relevant to students. View the text’s Index of Applications for a complete list.

Features and pedagogy that support guided student learning · Exercises — Over 40% of the more than 2,300 exercises are new or revised. · Tech Tips — Technology tips now appear in most sections. These tips show how to use Minitab, Excel, the TI-84 Plus, and StatCrunch to solve a problem. Real-life examples, exercises, and projects that help students picture the world using statistics · About 60% of the chapter features and examples are new or revised to maintain currency and student engagement. These include: o Chapter Case Studies — Each chapter has a Case Study featuring actual data from a real-world context and questions that illustrate the important concepts of the chapter. o Real Statistics — Real Decisions: Putting It All Together This feature encourages students to think critically and make informed decisions about real-world data. Exercises guide students from interpretation to drawing of conclusions. o Chapter Technology Projects — Each chapter has a Technology project using Minitab, Excel, and the TI-84 Plus that gives students insight into how technology is used to handle large data sets or real-life questions.