Description
Basic Statistics for Business and Economics 9th Edition by Douglas Lind, ISBN-13: 978-1260187502
[PDF eBook eTextbook]
- Publisher: McGraw Hill; 9th edition (January 5, 2018)
- Language: English
- 624 pages
- ISBN-10: 1260187500
- ISBN-13: 978-1260187502
Basic Statistics for Business and Economics, Ninth Edition provides an introductory survey of descriptive and inferential statistics, using clear and succinct writing. The authors use a step-by-step approach to ease students into statistics concepts, improving motivation and building mastery, with a focus on understanding the application of statistical methods in business and economics.
The chapters in this edition have been reorganized to better match the corresponding learning objectives. Additionally, the goals of each section have been clarified for both instructors and students.
A Data Analytics section has been added to the end of each chapter, with new and revised exercises, to develop students’ data analytical skills. Students will learn to evaluate, summarize, organize, and analyze information. They also will learn to think critically, improving their ability to interpret and articulate their findings.
Real-world exercises allow students to thoroughly understand how to apply each concept. Three data sets are used throughout the book, providing continuity as the exercises encourage students to build on what they have learned.
Table of Contents:
1 What is Statistics? 1
2 Describing Data: Frequency Tables, Frequency Distributions,
and Graphic Presentation 19
3 Describing Data: Numerical Measures 53
4 Describing Data: Displaying and Exploring Data 88
5 A Survey of Probability Concepts 117
6 Discrete Probability Distributions 155
7 Continuous Probability Distributions 184
8 Sampling Methods and the Central Limit Theorem 210
9 Estimation and Confidence Intervals 242
10 One-Sample Tests of Hypothesis 274
11 Two-Sample Tests of Hypothesis 305
12 Analysis of Variance 334
13 Correlation and Linear Regression 365
14 Multiple Regression Analysis 418
15 Nonparametric Methods:
Nominal-Level Hypothesis Tests 469
Appendixes:
Data Sets, Tables, Software Commands, Answers 503
Glossary 578
Index 581
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.
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.
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