Statistical Techniques in Business and Economics with Student CD
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Statistical Techniques in Business and Economics with Student CD

Statistical Techniques in Business and Economics with Student CD


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About the Book

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.

Table of Contents:
Chapter 1: What Is Statistics? Chapter 2: Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation Chapter 3: Describing Data: Numerical Measures Chapter 4: Describing Data: Displaying and Exploring Data Chapter 5: A Survey of Probability Concepts Chapter 6: Discrete Probability Distributions Chapter 7: Continuous Probability Distributions Chapter 8: Sampling Methods and the Central Limit Theorem Chapter 9: Estimation and Confidence Intervals Chapter 10: One-Sample Tests of Hypothesis Chapter 11: Two-Sample Tests of Hypothesis Chapter 12: Analysis of Variance Chapter 13: Linear Regression and Correlation Chapter 14: Multiple Regressions and Correlation Analysis Chapter 15: Index Numbers Chapter 16: Time Series and Forecasting Chapter 17: Nonparametric Methods: Chi-Square Application Chapter 18: Nonparametric Methods: Analysis of Ranked Data Chapter 19: Statistical Process Control and Quality Management Chapter 20: An Introduction to Decision Theory MegaStat for Excel Visual Statistics 2.0 Appendixes Photo Credits Index

About the Author :
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. 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. 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 Distinguished Professor Emeritus 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. Most recently, he published the article Using RealLife Major League Baseball Data in an Introductory Statistics Course in the Decision Sciences Journal of Innovative Education.  


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Product Details
  • ISBN-13: 9780073272962
  • Publisher: McGraw-Hill Education - Europe
  • Publisher Imprint: McGraw-Hill Professional
  • Height: 272 mm
  • No of Pages: 859
  • Spine Width: 38 mm
  • Width: 211 mm
  • ISBN-10: 0073272965
  • Publisher Date: 16 Nov 2006
  • Binding: Book
  • Language: English
  • Returnable: N
  • Weight: 1876 gr


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