Table of Contents

Chapter 1. Introduction. 1.1 What Is Statistics? 1.2 Types of Statistics. Case Study 1-1 10 Weeks in Front of the TV. Case Study 1-2 Do You Feel Pressured to Come to Work Despite Being Sick? 1.3 Population versus Sample. Case Study 1-3 Electronic World Swallows Up Kids' Time, Study Finds. 1.4 Basic Terms. 1.5 Types of Variables. 1.6 Cross-Section versus Time-Series Data. 1.7 Sources of Data. 1.8 Summation Notation. Uses and Misuses / Glossary / Supplementary Exercises / Self-Review Test / Mini-Project / Technology Instruction / Technology Assignments. Chapter 2. Organizing and Graphing Data. 2.1 Raw Data. 2.2 Organizing and Graphing Qualitative Data. Case Study 2-1 Marrying in the USA. Case Study 2-2 Americans Say Keep the Penny. 2.3 Organizing and Graphing Quantitative Data. Case Study 2-3 Hand Hygiene. Case Study 2-4 USA Is a Caffeinated Country. 2.4 Shapes of Histograms. Case Study 2-5 Using Truncated Axes. 2.5 Cumulative Frequency Distributions. 2.6 Stem-and-Leaf Displays. 2.7 DOTPLOTS. Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / Self-Review Test / Mini-Projects / Decide for Yourself / Technology Instruction / Technology Assignments. Chapter 3. Numerical Descriptive Measures. 3.1 Measures of Central Tendency for Ungrouped Data. Case Study 3-1 High-Priced Tickets in Big Markets. Case Study 3-2 Median Annual Starting Salary for MBAs. 3.2 Measures of Dispersion for Ungrouped Data. 3.3 Mean, Variance, and Standard Deviation for Grouped Data. 3.4 Use of Standard Deviation. Case Study 3-3 Here Comes the SD. 3.5 Measures of Position. 3.6 Box-and-Whisker Plot. Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / Appendix 3.1 / Self-Review Test / Mini-Projects / Decide for Yourself / Technology Instruction / Technology Assignments. Chapter 4. Probability. 4.1 Experiment, Outcomes, and Sample Space. 4.2 Calculating Probability. 4.3 Counting Rule. 4.4 Marginal and Conditional Probabilities. Case Study 4-1 American Lefties. 4.5 Mutually Exclusive Events. 4.6 Independent versus Dependent Events. 4.7 Complementary Events. 4.8 Intersection of Events and the Multiplication Rule. Case Study 4-2 Baseball Players Have "Slumps" and "Streaks". 4.9 Union of Events and the Addition Rule. Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / Self-Review Test / Mini-Projects / Decide for Yourself / Technology Instruction / Technology Assignments. Chapter 5. Discrete Random Variables and Their Probability Distributions. 5.1 Random Variables. 5.2 Probability Distribution of a Discrete Random Variable. 5.3 Mean of a Discrete Random Variable. 5.4 Standard Deviation of a Discrete Random Variable. Case Study 5-1 Aces High Instant Lottery Game-18th Edition. 5.5 Factorials, Combinations, and Permutations. Case Study 5-2 Playing Lotto. 5.6 The Binomial Probability Distribution. 5.7 The Hypergeometric Probability Distribution. 5.8 The Poisson Probability Distribution. Case Study 5-3 Ask Mr. Statistics. Case Study 5-4 Living and Dying in the USA. Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / Self-Review Test / Mini-Projects / Decide for Yourself / Technology Instruction / Technology Assignments. Chapter 6. Continuous Random Variables and the Normal Distribution. 6.1 Continuous Probability Distribution. 6.2 The Normal Distribution. Case Study 6-1 Distribution of Time Taken to Run a Road Race. 6.3 The Standard Normal Distribution. 6.4 Standardizing a Normal Distribution. 6.5 Applications of the Normal Distribution. 6.6 Determining the z and x Values When an Area Under the Normal Distribution Curve Is Known. 6.7 The Normal Approximation to the Binomial Distribution. Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / Self-Review Test / Mini-Projects / Decide for Yourself / Technology Instruction / Technology Assignments. Chapter 7. Sampling Distributions. 7.1 Population and Sampling Distributions. 7.2 Sampling and Nonsampling Errors. 7.3 Mean and Standard Deviation of. 7.4 Shape of the Sampling Distribution of. 7.5 Applications of the Sampling Distribution of. 7.6 Population and Sample Proportions. 7.7 Mean, Standard Deviation, and Shape of the Sampling Distribution of. Case Study 7-1 Calling the Vote for Congress. 7.8 Applications of the Sampling Distribution of. Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / Self-Review Test / Mini-Projects / Decide for Yourself / Technology Instruction / Technology Assignments. Chapter 8. Estimation of the Mean and Proportion. 8.1 Estimation: An Introduction. 8.2 Point and Interval Estimates. 8.3 Estimation of a Population Mean: - Known. Case Study 8-1 Education and Earnings. 8.4 Estimation of a Population Mean: - Not Known. Case Study 8-2 Cardiac Demands of Heavy Snow Shoveling. 8.5 Estimation of a Population Proportion: Large Samples. Case Study 8-3 Buying Habits of Consumers. Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / Self-Review Test / Mini-Projects / Decide for Yourself / Technology Instruction / Technology Assignments. Chapter 9. Hypothesis Tests About the Mean and Proportion. 9.1 Hypothesis Tests: An Introduction. 9.2 Hypothesis Tests About -: - Known. Case Study 9-1 The Average Cost of a Wedding. 9.3 Hypothesis Tests About -: - Not Known. 9.4 Hypothesis Tests About a Population Proportion: Large Samples. Case Study 9-2 Coffee or Internet? Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / Self-Review Test / Mini-Projects / Decide for Yourself / Technology Instruction / Technology Assignments. Chapter 10. Estimation and Hypothesis Testing: Two Populations. 10.1 Inferences About the Difference Between Two Population Means for Independent Samples: -1 and -2 Known. 10.2 Inferences About the Difference Between Two Population Means for Independent Samples: -1 and -2 Unknown but Equal. Case Study 10-1 Greater Hunger for News. 10.3 Inferences About the Difference Between Two Population Means for Independent Samples: -1 and -2 Unknown and Unequal. 10.4 Inferences About the Difference Between Two Population Means for Paired Samples. 10.5 Inferences About the Difference Between Two Population Proportions for Large and Independent Samples. Case Study 10-2 Workplace Views Differ By Gender. Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / Self-Review Test / Mini-Projects / Decide for Yourself / Technology Instruction / Technology Assignments. Chapter 11. Chi-Square Tests. 11.1 The Chi-Square Distribution. 11.2 A Goodness-of-Fit Test. Case Study 11-1 Up with 'the Color Purple'. 11.3 Contingency Tables. 11.4 A Test of Independence or Homogeneity. 11.5 Inferences About the Population Variance. Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / Self-Review Test / Mini-Projects / Decide for Yourself / Technology Instruction / Technology Assignments. Chapter 1.2 Analysis of Variance. 12.1 The F Distribution. 12.2 One-Way Analysis of Variance. Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / Self-Review Test / Mini-Projects / Decide for Yourself / Technology Instruction / Technology Assignments. Chapter 13 Simple Linear Regression. 13.1 Simple Linear Regression Model. 13.2 Simple Linear Regression Analysis. Case Study 13-1 Regression of Heights and Weights of NBA Players. 13.3 Standard Deviation of Random Errors. 13.4 Coefficient of Determination. 13.5 Inferences About B. 13.6 Linear Correlation. 13.7 Regression Analysis: A Complete Example. 13.8 Using the Regression Model. 13.9 Cautions in Using Regression. Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / Self-Review Test / Mini-Projects / Decide for Yourself / Technology Instruction / Technology Assignments. Chapter 14. Multiple Regression. This chapter is not included in this text but is available for download on the Web site at www.wiley.com/college/mann. 14.1 Multiple Regression Analysis. 14.2 Assumptions of the Multiple Regression Model. 14.3 Standard Deviation of Errors. 14.4 Coefficient of Multiple Determination 14.5 Computer Solution of Multiple Regression Exercises / Uses and Misuses / Glossary / Self-Review Test / Mini-Projects / Decide for Yourself. Chapter 15. Nonparametric Methods. This chapter is not included in this text but is available for download on the Web site at www.wiley.com/college/mann. 15.1 The Sign Test. 15.2 The Wilcoxon Signed-Rank Test for Two Dependent Samples. 15.3 The Wilcoxon Rank Sum Test for Two Independent Samples. 15.4 The Kruskal-Wallis Test. 15.5 The Spearman Rho Rank Correlation Coefficient Tes.t 15.6 The Runs Test for Randomness. Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / Self-Review Test / Mini-Projects / Decide for Yourself / Technology Instruction / Technology Assignments Appendix A. Sample Surveys, Sampling Techniques, and Design of Experiments A1. A.1 Sources of Data. A.1.1 Internal Sources. A.1.2 External Sources. A.1.3 Surveys and Experiments. Case Study A-1 Is It a Simple Question? A.2 Sample Surveys and Sampling Techniques. A.2.1 Why Sample? A.2.2 Random and Nonrandom Samples. A.2.3 Sampling and Nonsampling Errors. A.2.4 Random Sampling Techniques. A.3 Design of Experiments. Case Study A-2 Do Antibacterial Soaps Work? Exercises / Advanced Exercises / Glossary. Appendix B. Explanation of Data Sets. Data Set I: City Data. Data Set II: Data on States. Data Set III: NBA Data. Data Set IV: Manchester (Connecticut) Road Race Data. Data Set V: Sample of 500 Observations Selected from Data Set IV. Data Set VI: Data on Movies. Data Set VII: Standard & Poor's 100 Index Data. Data Set VIII: McDonald's Data. Appendix C. Statistical Tables. I Table of Binomial Probabilities. II Values of e-- . III Table of Poisson Probabilities. IV Standard Normal Distribution Table. V The t Distribution Table. VI Chi-Square Distribution Table. VII The F Distribution Table. Tables VIII through XII along with Chapters 14 and 15 are available on the Web site of this text. VIII Critical Values of X for the Sign Test. IX Critical Values of T for the Wilcoxon Signed-Rank Test. X Critical Values of T for the Wilcoxon Rank Sum Tes.t XI Critical Values for the Spearman Rho Rank Correlation Coefficient Test. XII Critical Values for a Two-Tailed Runs Test with - - .05. Answers to Selected Odd-Numbered Exercises and Self-Review Tests. Photo Credits. Index.

About the Author

Prem S. Mann, Professor and Chairman of the Economics Department at Eastern Connecticut State University, holds a Master's degree in Economics from Panjab University (India) and from University of Manchester (England) and a Ph.D. in Economics from UCLA. Before joining ECSU, he taught at California State University at Los Angeles and Fullerton. Professor Mann's specializations are in the areas of Microeconomics, Labor Economics, and Statistics. He usually teaches Statistics for Economics and Business, Mathematics for Economics, Introduction to Econometrics, and Quantitative Methods for Business and Economics. In addition to publishing many articles in reputed economic journals, Professor Mann has authored three textbooks on statistics: Introductory Statistics, Introductory Statistics using Technology, and Statistics for Business and Economics. Both of his textbooks, Introductory Statistics and Statistics for Business and Economics, have been translated into the Chinese language.