Basic Statistics for Business and Economics https://www.mheducation.com/cover-images/Jpeg_400-high/0073521477.jpeg 8 9780073521473 The 8th edition of Lind/Marchal/Wathen: Basic Statistics for Business and Economics, is a step-by-step approach that enhances student performance, accelerates preparedness and improves motivation for the student taking a business statistics course. The main objective of the text is to provide students majoring in all fields of business administration with an introductory survey of the many applications of descriptive and inferential statistics. The relevant approach taken in this text relates to the college students today as they will receive the information that is important to them in this class as well as their future careers. Understanding the concepts, seeing and doing plenty of examples and exercises, and comprehending the application of statistical methods in business and economics are the focus of this book. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that your class time is more engaging and effective.
Basic Statistics for Business and Economics

Basic Statistics for Business and Economics

8th Edition
By Douglas Lind and William Marchal and Samuel Wathen
ISBN10: 0073521477
ISBN13: 9780073521473
Copyright: 2013
09780073521473

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Program Details

1. What is Statistics?

2. Describing Data: Frequency Tables, Frequency Distributions and Graphic Presentations

3. Describing Data: Numerical Measures

4. Describing Data: Displaying and Exploring Data

5. A Survey of Probability Concepts

6. Discrete Probability Distributions

7. Continuous Probability Distributions

8. Sampling Methods and the Central Limit Theorem

9. Estimation and Confidence Intervals

10. One-Sample Tests of Hypothesis

11.Two Samples Tests of Hypothesis

12. Analysis of Variance

13. Correlation and Linear Regression

14. Multiple Regression and Correlation Analysis

15. Nonparametric Methods: Goodness-of-Fit Tests

Appendices: Data Sets, Tables, Answers

Answers to Odd-Numbered Chapter Exercises and Chapter Tests

Index

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.