Lind / Marchal / Wathen | Basic Statistics for Business and Economics with Formula Card | Buch | 978-0-07-738447-0 | www.sack.de

Buch, Englisch, Format (B × H): 206 mm x 267 mm, Gewicht: 1225 g

Lind / Marchal / Wathen

Basic Statistics for Business and Economics with Formula Card


7. Auflage 2010
ISBN: 978-0-07-738447-0
Verlag: MCGRAW HILL BOOK CO

Buch, Englisch, Format (B × H): 206 mm x 267 mm, Gewicht: 1225 g

ISBN: 978-0-07-738447-0
Verlag: MCGRAW HILL BOOK CO


Lind/Marchal/Wathen: BASIC STATISTICS FOR BUSINESS AND ECONOMICS, Seventh edition is a derivative of the best-selling STATISTICAL TECHNIQUES IN BUSINESS AND ECONOMICS, offering the essential topics of statistical tools and methods delivered in a student friendly, step-by-step format. The text is non-threatening and presents concepts clearly and succinctly with a conversational writing style. All statistical concepts are illustrated with solved applied examples immediately upon introduction. Modern computing tools and applications are introduced, but the text maintains a focus on presenting statistics content as opposed to technology or programming methods, and the seventh edition continues as a “students” text with increased emphasis on interpretation of data and results.

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Weitere Infos & Material


1. What is Statistics?2. Describing Data: Frequency Distributions and Graphic Presentations3. Describing Data: Numerical Measures 4. Describing Data: Displaying and Exploring Data5. A Survey of Probability Concepts6. Discrete Probability Distributions7. Continuous Probability Distributions8. Sampling Methods and the Central Limit Theorem9. Estimation and Confidence Intervals10. One-Sample Tests of Hypothesis11.Two Samples Tests of Hypothesis12. Analysis of Variance13. Linear Regression and Correlation14. Multiple Regression and Correlation Analysis15. Chi-Square ApplicationsAppendices: Tables and Data Sets Answers to Odd-Numbered Chapter Exercises and Chapter TestsIndex


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.

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.

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.



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