by Douglas A. Lind (Author), William G Marchal (Author), Samuel A. Wathen (Author)
About the Author
Professor in the E. Craig Wall Sr. College of Business Administration at Coastal Carolina University. He earned his Ph.D. in Business Administration from the University of Minnesota, a M.B.A. from Oklahoma State University, a M.S. in Forest Biometrics from Virginia Polytechnic Institute and State University, and a B.S. in Forestry from the University of Illinois. Dr. Wathen's research interests include applied statistics, teaching methods, and manufacturing and service process design. He has published articles in the International Journal of Operations and Production Management, National Productivity Review, International Journal of Service Industry Management, and the Journal of Workplace Learning: Employee Counseling Today
About this book
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.
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Brief 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
Pages: 624 pages
Publisher: McGraw-Hill Education; 9 edition (January 5, 2018)
Language: English
ISBN-10: 1260187500
ISBN-13: 978-1260187502