Applied Statistics in Business and Economics, 7th edition, provides real meaning to the use of statistics in the real world by using real business situations and real data while appealing to students who want to know the why rather than just the how. The text emphasizes thinking about data, choosing appropriate analytic tools, using computers effectively, and recognizing the limitations of statistics. It motivates student learning through applied current exercises and cases that provide real-world relevance and includes analytics in action, careers, and applications of big data, Artificial Intelligence, and machine learning (including ethical issues). The Doane and Seward authors work as a team, integrating the digital and eBook assets seamlessly. In recognition of a growing interest in analytics training beyond Excel, the textbook now provides an optional introduction to R with illustrations of topics in each chapter. Support for R is further enhanced with Learning Stats modules, tables of R functions, and R-compatible Excel data sets.
Doane / Seward
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Weitere Infos & Material
Chapter 1: Overview of Statistics 2Chapter 2: Data Collection 24Chapter 3: Describing Data Visually 56Chapter 4: Descriptive Statistics 100Chapter 5: Probability 158Chapter 6: Discrete Probability Distributions 200Chapter 7: Continuous Probability Distributions 238Chapter 8: Sampling Distributions and Estimation 278Chapter 9: One-Sample Hypothesis Tests 322Chapter 10: Two-Sample Hypothesis Tests 370Chapter 11: Analysis of Variance 416Chapter 12: Simple Regression 462Chapter 13: Multiple Regression 522Chapter 14: Time-Series Analysis 578Chapter 15: Chi-Square Tests 624Chapter 16: Nonparametric Tests 662Chapter 17: Quality Management 692Chapter 18: Simulation 18-1Appendix A: Binomial Probabilities 734Appendix B: Poisson Probabilities 736Appendix C-1: Standard Normal Areas 739Appendix C-2: Cumulative Standard Normal Distribution 740Appendix D: Student’s t Critical Values 742Appendix E: Chi-Square Critical Values 743Appendix F: Critical Values of F.10 744Appendix G: Solutions to Odd-Numbered Exercises 752Appendix H: Answers to Exam Review Questions 779Appendix I: Writing and Presenting Reports 781Appendix J: Statistics in Excel and R 785Appendix K: Using Rand RStudio 789
Seward, Lori
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.
Doane, David
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.
