Statistical Techniques in Business and Economics

ISBN-10: 0073272965

ISBN-13: 9780073272962

Edition: 13th 2008 (Revised)

List price: $181.25 Buy it from $3.00
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Description:

The new edition of Lind's Statistical Techniques in Business and Economics 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 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. Self reviews and exercises for each section, and review sections for groups of chapters also support the student learning steps. Modern computing applications (Excel, Minitab, and MegaStat) are introduced, but the text maintains a focus on presenting statistics concepts as applied in business as opposed to technology or programming methods. The thirteenth edition continues as a students' text with increased emphasis on interpretation of data and results.
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Book details

List price: $181.25
Edition: 13th
Copyright year: 2008
Publisher: McGraw-Hill Higher Education
Publication date: 10/19/2006
Binding: Mixed Media
Pages: 859
Size: 8.25" wide x 10.75" long x 1.25" tall
Weight: 4.290
Language: English

Douglas A. Lind is now an 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.Dr. Lind has more than 25 years of college teaching experience. This includes teaching statistics at the introductory, intermediate, and advanced undergraduate level, as well as graduate courses in statistics and research methods. He is a past recipient of the Tony DeJute Outstanding Teacher award. This award is given annually by the College of Business to the outstanding teacher in the College.He is active in both consulting and community service in Northwest Ohio. He has consulted with such national firms as Ford Motor Company, Key Bank, National City Bank, and the former Sheller Globe. Regional consulting includes work with The Toledo Hospital, St. Vincent Mercy Medical Center, and the Toledo Community Oncology Program. He has served the community of Perrysburg, Ohio as a member of volunteer committees for the city and the school system. This includes his most avid avocation, coaching high school baseball, having served as a volunteer coach for more than 12 years.His professional memberships include The American Statistical Association, Decision Sciences, and The Textbook Author's Association.

William G. Marchal is 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.Dr. Marchal is co-author with the late Robert D. Mason and Douglas A. Lind of three textbooks: Statistics: An Introduction; Statistical Techniques in Business & Economics; and Basic Statistics for Business & Economics. His research on stochastic models focuses on applications to waiting line models. Dr. Marchal has made paper presentations at meetings of professional societies, referred papers for journals and served as an associate editor of Naval Research Logistics. Published articles appear in the journals: Communications in Statistics, INFORMS, Journal on Computing, IIE Transactions, Interfaces, Operations Research, The Annals of Operations Research, AIIE Transactions and The Journal of Applied Probability.

Samuel Wathen is a 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. Dr. Wathen has 14 years of teaching experience. This includes introductory statistics, decision analysis, operations management, materials management, and service operations management. His experience spans both graduate and undergraduate programs. He attended a Master Teaching seminar held at Georgia State University that offered concepts and techniques to improve course design, course delivery, exam construction, student involvement, and many other aspects of teaching.

What Is Statistics?
Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation
Describing Data: Numerical Measures
Describing Data: Displaying and Exploring Data
A Survey of Probability Concepts
Discrete Probability Distributions
Continuous Probability Distributions
Sampling Methods and the Central Limit Theorem
Estimation and Confidence Intervals
One-Sample Tests of Hypothesis
Two-Sample Tests of Hypothesis
Analysis of Variance
Linear Regression and Correlation
Multiple Regressions and Correlation Analysis
Index Numbers
Time Series and Forecasting
Nonparametric Methods: Chi-Square Application
Nonparametric Methods: Analysis of Ranked Data
Statistical Process Control and Quality Management
An Introduction to Decision Theory MegaStat for Excel Visual Statistics 2.0
Appendixes
Photo
Credits
Index
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