Applied Statistics in Business and Economics ISE
7th Edition
Will be published approx. on 11. March 2021
Book
Paperback/Softback
848 pages
978-1-260-59764-6 (ISBN)
Description
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.
More details
Edition
7th edition
Language
English
Place of publication
OH
United States
Target group
College/higher education
US School Grade: From College Freshman to College Graduate Student
Illustrations
447 Illustrations
Dimensions
Height: 277 mm
Width: 218 mm
Thickness: 31 mm
Weight
1461 gr
ISBN-13
978-1-260-59764-6 (9781260597646)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
David Doane | Lori Seward
ISE Applied Statistics in Business and Economics
Book
01/2018
6th Edition
McGraw-Hill Education
€74.27
Article exhausted; check for reprint
Persons
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.
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.
Content
Chapter 1: Overview of Statistics 2
Chapter 2: Data Collection 24
Chapter 3: Describing Data Visually 56
Chapter 4: Descriptive Statistics 100
Chapter 5: Probability 158
Chapter 6: Discrete Probability Distributions 200
Chapter 7: Continuous Probability Distributions 238
Chapter 8: Sampling Distributions and Estimation 278
Chapter 9: One-Sample Hypothesis Tests 322
Chapter 10: Two-Sample Hypothesis Tests 370
Chapter 11: Analysis of Variance 416
Chapter 12: Simple Regression 462
Chapter 13: Multiple Regression 522
Chapter 14: Time-Series Analysis 578
Chapter 15: Chi-Square Tests 624
Chapter 16: Nonparametric Tests 662
Chapter 17: Quality Management 692
Chapter 18: Simulation 18-1
Appendix A: Binomial Probabilities 734
Appendix B: Poisson Probabilities 736
Appendix C-1: Standard Normal Areas 739
Appendix C-2: Cumulative Standard Normal Distribution 740
Appendix D: Student's t Critical Values 742
Appendix E: Chi-Square Critical Values 743
Appendix F: Critical Values of F.10 744
Appendix G: Solutions to Odd-Numbered Exercises 752
Appendix H: Answers to Exam Review Questions 779
Appendix I: Writing and Presenting Reports 781
Appendix J: Statistics in Excel and R 785
Appendix K: Using Rand RStudio 789
Chapter 2: Data Collection 24
Chapter 3: Describing Data Visually 56
Chapter 4: Descriptive Statistics 100
Chapter 5: Probability 158
Chapter 6: Discrete Probability Distributions 200
Chapter 7: Continuous Probability Distributions 238
Chapter 8: Sampling Distributions and Estimation 278
Chapter 9: One-Sample Hypothesis Tests 322
Chapter 10: Two-Sample Hypothesis Tests 370
Chapter 11: Analysis of Variance 416
Chapter 12: Simple Regression 462
Chapter 13: Multiple Regression 522
Chapter 14: Time-Series Analysis 578
Chapter 15: Chi-Square Tests 624
Chapter 16: Nonparametric Tests 662
Chapter 17: Quality Management 692
Chapter 18: Simulation 18-1
Appendix A: Binomial Probabilities 734
Appendix B: Poisson Probabilities 736
Appendix C-1: Standard Normal Areas 739
Appendix C-2: Cumulative Standard Normal Distribution 740
Appendix D: Student's t Critical Values 742
Appendix E: Chi-Square Critical Values 743
Appendix F: Critical Values of F.10 744
Appendix G: Solutions to Odd-Numbered Exercises 752
Appendix H: Answers to Exam Review Questions 779
Appendix I: Writing and Presenting Reports 781
Appendix J: Statistics in Excel and R 785
Appendix K: Using Rand RStudio 789