Basic Statistics for Business and Economics

8 ed
ISBN: 978-0-07-131807-5
Verlag: McGraw-Hill Education - Europe

Buch, Englisch, 624 Seiten, Format (B × H): 207 mm x 271 mm, Gewicht: 1136 g

Reihe: College Ie Overruns

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.

Autoren/Hrsg.

Lind, Douglas

Marchal, William

Wathen, Samuel

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik

Inhaltsverzeichnis

1. What is Statistics?2. Describing Data: Frequency Tables, Frequency Distributions and Graphic Presentations3. Describing Data: Numerical Measures4. Describing Data: Displaying and Exploring Data5. A Survey of Probability Concepts6. Discrete Probability Distributions7. Continuous Probability Distributions8. Sampling Methods and the Central Limit Theorem9. Estimation and Confidence Intervals10. One-Sample Tests of Hypothesis11.Two Samples Tests of Hypothesis12. Analysis of Variance13. Correlation and Linear Regression14. Multiple Regression and Correlation Analysis15. Nonparametric Methods: Goodness-of-Fit TestsAppendices: Data Sets, Tables, AnswersAnswers to Odd-Numbered Chapter Exercises and Chapter TestsIndex

Über Autor(innen)

Lind, Douglas
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.

Marchal, William
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.

Wathen, Samuel
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.