Chapter One Overview of Statistics Chapter Two Data Collection Chapter Three Describing Data Visually Chapter Four Descriptive Statistics Chapter Five Probability Chapter Six Discrete Probability Distributions Chapter Seven Continuous Probability Distributions Chapter Eight Sampling Distributions and Estimation Chapter Nine One-Sample Hypothesis Tests Chapter Ten Two-Sample Hypothesis Tests Chapter Eleven Analysis of Variance Chapter Twelve Simple Regression Chapter Thirteen Multiple Regression Chapter Fourteen Time-Series Analysis Chapter Fifteen Chi-Square Tests Chapter Sixteen Nonparametric Tests Chapter Seventeen Quality Management Chapter Eighteen (Web) Simulation Appendix A Binomial Probabilities Appendix B Poisson Probabilities Appendix C-1 Standard Normal Areas Appendix C-2 Cumulative Standard Normal Distribution Appendix D Student's t Critical Values Appendix E Chi-Square Critical Values Appendix F Critical Values of F.10 Appendix G Solutions to Odd-Numbered Exercises Appendix H Answers to Exam Review Questions Appendix I Writing and Presenting Reports Appendix J Excel Statistical Functions Photo Credits Index
David P. Doane is Professor of Quantitative Methods in Oakland University's Department of Decision and Information Sciences. He earned his Bachelor of Arts degree in mathematics and economics at the University of Kansas and his PhD from Purdue University's Krannert Graduate School. Lori E. Seward is an Instructor in the Decisions Sciences Department in the College of Business at The University of Colorado at Denver and Health Sciences Center. She earned her Bachelor of Science and Master of Science degrees in Industrial Engineering at Virginia Tech. After several years working as a reliability and quality engineer in the paper and automotive industries, she earned her PhD from Virginia Tech.