Applied Statistics in Business and Economics

4. Revised Auflage 2012
ISBN: 978-0-07-352148-0
Verlag: McGraw-Hill Education - Europe

Buch, Englisch, 864 Seiten, Format (B × H): 278 mm x 224 mm, Gewicht: 1810 g

The 4th Edition of Applied Statistics in Business & Economics provides real meaning to the use of statistics in real world by using real business situations and real data while appealing students to know why rather than just the how. Four distinct objectives have been met to follow this premise: - Objective 1: Communicate the Meaning of Variation in a BusinessContext - Objective 2: Use Real Data and Real Business Applications - Objective 3: Incorporate Current Statistical Practices and Offer Practical Advice - Objective 4: Provide More In-Depth Explanation of the Why and Let the Software Take Care of the How The emphasis of the 4th edition remains the same: thinking about data, choosing appropriate analytic tools, using computers effectively, and recognising limitations of statistics.Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that your class time is more engaging and effective.

Autoren/Hrsg.

Doane, David P.

Doane, David

Seward, Lori E.

Seward, Lori

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Ökonometrie
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik

Inhaltsverzeichnis

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

Über Autor(innen)

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.

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.