Statistical Techniques in Business and Economics

15 ed
ISBN: 978-0-07-131698-9
Verlag: McGraw-Hill Education - Europe

Buch, Englisch, 800 Seiten, Format (B × H): 208 mm x 267 mm, Gewicht: 1597 g

Lind/Marchal/Wathen is a perennial market best seller due to its comprehensive coverage of statistical concepts and methods delivered in a student friendly, step-by-step format. The text presents concepts clearly and succinctly with a conversational writing style and illustrates concepts through the liberal use of business-focused examples that are relevant to the current world of a college student. Known as a “student’s text,” Lind’s supporting pedagogy includes self reviews, cumulative exercises, and coverage of software applications including Excel, Minitab, and MegaStat for Excel. The new 15th edition puts more emphasis on the interpretation of data and results and supports Lind’s student-centric, step-by-step approach with McGraw-Hill’s industry leading online assessment resource Connect Business Statistics.

Autoren/Hrsg.

Lind, Douglas

Marchal, William

Wathen, Samuel

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik

Inhaltsverzeichnis

1 What Is Statistics?
2 Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation
3 Describing Data: Numerical Measures
4 Describing Data: Displaying and Exploring Data
5 A Survey of Probability Concepts
6 Discrete Probability Distributions
7 Continuous Probability Distributions
8 Sampling Methods and the Central Limit Theorem
9 Estimation and Confidence Intervals
10 One-Sample Tests of Hypothesis
11 Two-Sample Tests of Hypothesis
12 Analysis of Variance
13 Correlation and Linear Regression
14 Multiple Regression Analysis
15 Index Numbers
16 Time Series and Forecasting
17 Nonparametric Methods: Goodness-of-Fit-Tests
18 Nonparametric Methods: Analysis of Ranked Data
19 Statistical Quality Control and Quality Management
20 An Introduction to Decision Theory (Web)
Appendix A: Data Sets
Appendix B: Tables
Appendix C: Answers to Odd-Numbered Chapter Exercises, Odd-Numbered Review Exercises, and Solutions to Practice Tests
Index

Über Autor(innen)

Marchal, William
William G. Marchal earned his B.S. in mathematics from the University of Dayton, his M.A. in mathematics from Catholic University of America, and his D.Sc. in operations research from George Washington University. He is Emeritus Professor of Information Systems and Operations Management at the University of Toledo College of Business Administration. Dr. Marchal has held visiting appointments at the University of Michigan and at George Mason University. He has worked at the Executive Office of the District of Columbia government, the George Washington University Institute for Management Science, and the U.S. Army Chemical Research and Development Center. He has also served as an associate editor of Naval Research Logistics.

Lind, Douglas
Douglas A. Lind earned his B.S. in Business from Bowling Green State University, and his Ph.D. and M.B.A. from the University of Toledo. He is Emeritus Professor at Coastal Carolina University and the University of Toledo. Dr. Lind is a co-author of Statistical Techniques in Business and Economics with the late Robert D. Mason and William G. Marchal. He has more than 38 years of college teaching experience, including teaching statistics at the introductory, intermediate, and advanced undergraduate levels, as well as graduate courses in statistics and research methods. Dr. Lind is a past recipient of the Tony DeJute Outstanding Teacher Award.

Wathen, Samuel
Samuel A. Wathen earned his B.S. in forestry from the University of Illinois, an M.B.A. from Oklahoma State University, an M.S. in forest biometrics from Virginia Polytechnic Institute and State University, and his Ph.D. in business administration from the University of Minnesota. He is Professor of Management and Decision Sciences in the E. Craig Wall Sr. College of Business Administration at Coastal Carolina University. Dr. Wathen's research interests include applied statistics, teaching methods, and manufacturing and service process design. He has published articles in the International Journal of Operations and Production Management, National Productivity Review, International Journal of Service Industry Management, and the Journal of Workplace Learning: Employee Counseling Today.

Douglas A. Lind, Coastal Carolina University
William G. Marchal, University of Toledo
Samuel A. Wathen, Coastal Carolina University