Statistical Techniques in Business and Economics https://www.mheducation.com/cover-images/Jpeg_400-high/1260239470.jpeg 18 9781260239478 Statistical Techniques in Business and Economics, 18e is a best seller, originally published in 1967 to provide students majoring in management, marketing, finance, accounting, economics, and other fields of business administration with an introductory survey of descriptive and inferential statistics. Its hallmark presentation boasts a step by step approach that was written so clearly that any student can learn and succeed in Business Statistics. Its simple language and use of multiple examples focus on business applications, but also relate to the current world of the college student. This step-by-step approach enhances performance, accelerates preparedness, and significantly improves motivation. Lind's real-world examples, comprehensive coverage, and superior pedagogy that now includes data analytics coverage, combined with a complete digital solution help students achieve higher outcomes in the course.
Statistical Techniques in Business and Economics

Statistical Techniques in Business and Economics

18th Edition
By Douglas Lind and William Marchal and Samuel Wathen
ISBN10: 1260239470
ISBN13: 9781260239478
Copyright: 2021
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The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.

Program Details

Ch. 1 What Is Statistics?
Ch. 2 Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation
Ch. 3 Describing Data: Numerical Measures
Ch. 4 Describing Data: Displaying and Exploring Data
Ch. 5 A Survey of Probability Concepts
Ch. 6 Discrete Probability Distributions
Ch. 7 Continuous Probability Distributions
Ch. 8 Sampling, Sampling Methods, and the Central Limit Theorem
Ch. 9 Estimation and Confidence Intervals
Ch. 10 One-Sample Tests of Hypothesis
Ch. 11 Two-Sample Tests of Hypothesis
Ch. 12 Analysis of Variance
Ch. 13 Correlation and Linear Regression
Ch. 14 Multiple Regression Analysis
Ch. 15 Nonparametric Methods: Nominal Level Hypothesis Tests
Ch. 16 Nonparametric Methods: Analysis of Ordinal Data
Ch. 17 Index Numbers
Ch. 18 Forecasting with Time Series Analysis
Ch. 19 Statistical Process Control and Quality Management
Ch. 20 An Introduction to Decision Theory

Appendix:
Data Sets, Tables, Software Commands, Answers

About the Author

Douglas Lind

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 Marchal

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 Wathen

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 Real‐Life Major League Baseball Data in an Introductory Statistics Course” in the Decision Sciences Journal of Innovative Education.  

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