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Basic Statistics for Business and Economics - Douglas Lind, William Marchal, Samuel Wathen

Basic Statistics for Business and Economics

Buch | Hardcover
2018 | 9th edition
McGraw-Hill Education (Verlag)
978-1-260-18750-2 (ISBN)
CHF 229,95 inkl. MwSt
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Basic Statistics for Business and Economics, Ninth Edition provides an introductory survey of descriptive and inferential statistics, using clear and succinct writing. The authors use a step-by-step approach to ease students into statistics concepts, improving motivation and building mastery, with a focus on understanding the application of statistical methods in business and economics. 
The chapters in this edition have been reorganized to better match the corresponding learning objectives. Additionally, the goals of each section have been clarified for both instructors and students. 
A Data Analytics section has been added to the end of each chapter, with new and revised exercises, to develop students' data analytical skills. Students will learn to evaluate, summarize, organize, and analyze information. They also will learn to think critically, improving their ability to interpret and articulate their findings.
Real-world exercises allow students to thoroughly understand how to apply each concept. Three data sets are used throughout the book, providing continuity as the exercises encourage students to build on what they have learned.
Digital resources within Connect help students apply what they've learned and 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 class time is more engaging and effective.

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. 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. 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 Distinguished Professor Emeritus 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. Most recently, he published the article Using RealLife Major League Baseball Data in an Introductory Statistics Course in the Decision Sciences Journal of Innovative Education.  

1 What Is Statistics?2 Describing Data: Frequency Tables, Frequency Distribution, 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 Levels
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 Nonparametric Methods: Nominal-Level Hypothesis Tests 
Appendixes: Data Sets, Tables, Software Commands, Answers
Glossary
Index

Erscheinungsdatum
Verlagsort OH
Sprache englisch
Maße 211 x 272 mm
Gewicht 1347 g
Themenwelt Mathematik / Informatik Mathematik Statistik
Wirtschaft Betriebswirtschaft / Management
ISBN-10 1-260-18750-0 / 1260187500
ISBN-13 978-1-260-18750-2 / 9781260187502
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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