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Statistical Techniques in Business and Economics

ISBN-10: 0256263078

ISBN-13: 9780256263077

Edition: 10th 1999

Authors: Robert D. Mason, Douglas A. Lind, William G. Marchal

List price: $98.75
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Description:

A comprehensive survey of statistical tools and methods for economics and business, this text presents key concepts and then illustrates them with a solved example.
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Book details

List price: $98.75
Edition: 10th
Copyright year: 1999
Publisher: McGraw-Hill Higher Education
Binding: Hardcover
Pages: 928
Size: 8.50" wide x 10.50" long x 1.25" tall
Weight: 3.696
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.

What Is Statistics?
Summarizing Data - Frequency Distributions and Graphic Presentation
Describing Data - Measures of Central Tendency
Measures of Dispersion and Skewness
A Survey of Probability Concepts
Discrete Probability Distributions
The Normal Probability Distribution
Sampling Methods and Sampling Distributions
Tests of Hypotheses: Large Samples
Tests of Hypotheses: Proportions
Student's t Test: Small Samples
Analysis of Variance
Simple Correlation Analysis
Simple Regression Analysis
Multiple Regression and Correlation
Analysis of Nominal-Level Data: The Chi-Square Distribution
Nonparametric Methods: Analysis of Ranked Data
Index Numbers
Time Series and Forecasting
An Introduction to Decision Making under Uncertainty
Statistical Quality Control
Appendixes: Tables and Data Sets
Answers: Odd-Numbered Chapter Exercises
Answers: Odd-Numbered Chapter Review Exercises
Index