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Statistical Techniques in Business and Economics

ISBN-10: 0073401803

ISBN-13: 9780073401805

Edition: 15th 2012

Authors: Douglas Lind, William G. Marchal, Samuel Wathen

List price: $284.67
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Description:

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.
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Book details

List price: $284.67
Edition: 15th
Copyright year: 2012
Publisher: McGraw-Hill Higher Education
Publication date: 1/7/2011
Binding: Hardcover
Pages: 800
Size: 8.25" wide x 10.50" long x 1.25" tall
Weight: 4.4
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.

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
Correlation and Linear Regression
Multiple Regression Analysis
Index Numbers
Time Series and Forecasting
Nonparametric Methods: Goodness-of-Fit-Tests
Nonparametric Methods: Analysis of Ranked Data
Statistical Quality Control and Quality Management
An Introduction to Decision Theory (Web)
Data Sets
Tables
Answers to Odd-Numbered Chapter Exercises, Odd-Numbered Review Exercises, and Solutions to Practice Tests
Index