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ISBN-10: 0-13-359719-9 ISBN-13: 978-0-13-359719-6 For more information, please contact us at [email protected] Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statistics, Second Edition Acknowledgments About the Authors Introduction. The Even You Can Learn Statistics Owners Manual Chapter 1. Fundamentals of Statistics 1.1. The First Three Words of Statistics 1.2. The Fourth and Fifth Words 1.3. The Branches of Statistics 1.4. Sources of Data 1.5. Sampling Concepts 1.6. Sample Selection Methods Chapter 2. Presenting Data in Charts and Tables 2.1. Presenting Categorical Variables 2.2. Presenting Numerical Variables 2.3. Misusing Charts Chapter 3. Descriptive Statistics 3.1. Measures of Central Tendency 3.2. Measures of Position 3.3. Measures of Variation 3.4. Shape of Distributions Chapter 4. Probability 4.1. Events 4.2. More Definitions 4.3. Some Rules of Probability 4.4. Assigning Probabilities Chapter 5. Probability Distributions 5.1. Probability Distributions for Discrete Variables 5.2. The Binomial and Poisson Probability Distributions 5.3. Continuous Probability Distributions and the Normal Distribution 5.4. The Normal Probability Plot Chapter 6. Sampling Distributions and Confidence Intervals 6.1. Sampling Distributions 6.2. Sampling Error and Confidence Intervals 6.3. Confidence Interval Estimate for the Mean Using the t Distribution (σ Unknown) 6.4. Confidence Interval Estimation for Categorical Variables Chapter 7. Fundamentals of Hypothesis Testing 7.1. The Null and Alternative Hypotheses 7.2. Hypothesis Testing Issues 7.3. Decision-Making Risks 7.4. Performing Hypothesis Testing 7.5. Types of Hypothesis Tests Chapter 8. Hypothesis Testing: Z and t Tests 8.1. Testing for the Difference Between Two Proportions 8.2. Testing for the Difference Between the Means of Two Independent Groups 8.3. The Paired t Test Chapter 9. Hypothesis Testing: Chi-Square Tests and the One-Way Analysis of Variance (ANOVA) 9.1. Chi-Square Test for Two-Way Cross-Classification Tables 9.2. One-Way Analysis of Variance (ANOVA): Testing for the Differences Among the Means of More Than Two Groups Chapter 10. Simple Linear Regression 10.1. Basics of Regression Analysis 10.2. Determining the Simple Linear Regression Equation 10.3. Measures of Variation 10.4. Regression Assumptions 10.5. Residual Analysis 10.6. Inferences About the Slope 10.7. Common Mistakes Using Regression Analysis Chapter 11. Multiple Regression 11.1. The Multiple Regression Model 11.2. Coefficient of Multiple Determination 11.3. The Overall F test 11.4. Residual Analysis for the Multiple Regression Model 11.5. Inferences Concerning the Population Regression Coefficients Chapter 12. Quality and Six Sigma Applications of Statistics 12.1. Total Quality Management 12.2. Six Sigma 12.3. Control Charts 12.4. The p Chart 12.5. The Parable of the Red Bead Experiment: Understanding Process Variability 12.6. Variables Control Charts for the Mean and Range Appendix A. Calculator and Spreadsheet Operation and Configuration A.C1. Calculator Operation Conventions A.C2. Calculator Technical Configuration A.C3. Using the A2MULREG Program A.C4. Using TI Connect A.S1. Spreadsheet Operation Conventions A.S2. Spreadsheet Technical Configurations Appendix B. Review of Arithmetic and Algebra Assessment Quiz Symbols Answers to Quiz Appendix C. Statistical Tables Appendix D. Spreadsheet Tips CT: Chart Tips FT: Function Tips ATT: Analysis ToolPak Tips (Microsoft Excel only) Appendix E. Advanced Techniques E.1. Using PivotTables to Create Two-Way Cross- Classification Tables E.2. Using the FREQUENCY Function to Create Frequency Distributions E.3. Calculating Quartiles E.4. Using the LINEST Function to Calculate Regression Results Appendix F. Documentation for Downloadable Files F.1. Downloadable Data Files F.2. Downloadable Spreadsheet Solution Files Glossary Index How to Keep Score in Business: Accounting and Financial Analysis for the Non-Accountant Chapter 1 Introduction The First Lesson: Scores Are Not Real Dollars The Accrual Method But Scores Are Important Chapter 2 Glossary of Key Financial Accounting Terms Glossary