Basic Statistics for Business and Economics https://www.mheducation.com/cover-images/Jpeg_400-high/1260187500.jpeg 9 9781260187502 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. Digital resources within Connect help students apply what they've learned and achieve higher outcomes in the course. 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 class time is more engaging and effective.
Basic Statistics for Business and Economics

Basic Statistics for Business and Economics

9th Edition
By Douglas Lind and William Marchal and Samuel Wathen
ISBN10: 1260187500
ISBN13: 9781260187502
Copyright: 2019
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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

1 What Is Statistics?2 Describing Data: Frequency Tables, Frequency Distribution, and Graphic Presentation
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 Levels
10 One-Sample Tests of Hypothesis
11 Two-Sample Tests of Hypothesis
12 Analysis of Variance
13 Correlation and Linear Regression
14 Multiple Regression Analysis
15 Nonparametric Methods: Nominal-Level Hypothesis Tests 
Appendixes: Data Sets, Tables, Software Commands, Answers
Glossary
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.  

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MegaStat® is a full-featured Excel statistical analysis add-in that is available on the MegaStat website at www.mhhe.com/megastat for purchase. MegaStat performs statistical analyses within an Excel workbookand covers most calculations found in introductory statistics textbooks, such as computing descriptive statistics, creating frequency distributions, and computing probabilities as well as hypothesis testing, ANOVA, chi-square analysis, and regression analysis (simple and multiple). Video tutorials and a User's Guide is included.

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MINITAB®/SPSS®/JMP® Minitab®

Student Version 14, SPSS® Student Version 18.0, and JMP® Student Edition Version 8 are software products that are available to help students solve the exercises with data files. Each software product can be packaged with any McGraw-Hill business statistics text.

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