Statistical Techniques in Business and Economics
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 More...
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List Price: $271.00
Publisher: McGraw-Hill Higher Education
Size: 8.40" wide x 10.60" long x 1.30" tall
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.
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..
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|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|
|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)|
|Answers to Odd-Numbered Chapter Exercises, Odd-Numbered Review Exercises, and Solutions to Practice Tests|