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ISE Basic Statistics for Business and Economics Douglas Lind

ISE Basic Statistics for Business and Economics By Douglas Lind

ISE Basic Statistics for Business and Economics by Douglas Lind

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ISE Basic Statistics for Business and Economics Summary

ISE Basic Statistics for Business and Economics by Douglas Lind

The 9th 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.

About 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 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.

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: Correlation and Linear Regression
Chapter 14: Multiple Regression Analysis
Chapter 15: Nonparametric Methods: Nominal-Level Hypothesis Tests

Additional information

GOR011535513
9781260287851
1260287858
ISE Basic Statistics for Business and Economics by Douglas Lind
Douglas Lind
Used - Very Good
Paperback
McGraw-Hill Education
2018-02-04
626
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

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