Statistical Techniques in Business and Economics

16. Auflage 2014
ISBN: 978-0-07-802052-0
Verlag: McGraw-Hill Education

Buch, Englisch, 864 Seiten, Format (B × H): 211 mm x 267 mm, Gewicht: 1613 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. And now, McGraw-Hill's adaptive learning component, LearnSmart, provides assignable modules that help students master chapter core concepts and come to class more prepared. In addition, resources within Connect help students solve problems and apply what they've learned. Lind's real-world examples, comprehensive coverage, and superior pedagogy combine with a complete digital solution to help students achieve higher outcomes in the course.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.

Lind, Douglas

Marchal, William

Wathen, Samuel

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Betriebswirtschaft: Theorie & Allgemeines

Inhaltsverzeichnis

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

Über Autor(innen)

Wathen, Samuel
Professor in the E. Craig Wall Sr. College of Business Administration at Coastal Carolina University. He earned his Ph.D. in Business Administration from the University of Minnesota, a M.B.A. from Oklahoma State University, a M.S. in Forest Biometrics from Virginia Polytechnic Institute and State University, and a B.S. in Forestry from the University of Illinois. 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

Marchal, William
Professor of Information Systems and Operations Management at The University of Toledo College of Business Administration. He received his B.S. degree in Mathematics from The University of Dayton, an M.A. in Mathematics from The Catholic University of America, and his D. Sc. in Operations Research from The George Washington University. Dr. Marchal has held visiting appointments at The University of Michigan and George Mason University. He has also 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 & Development Center.

Lind, Douglas
Adjunct professor at Coastal Carolina University. He earned his Ph.D. and an MBA from The University of Toledo and a Bachelor of Science in Business from Bowling Green State University. Dr. Lind is the co-author with the late Robert D. Mason and William G. Marchal of Statistical Techniques in Business and Economics and Basic Statistics for Business and Economics published by Irwin/McGraw-Hill and Statistics: An Introduction published by Duxbury. In addition he has written Study Guides to be used with these texts.