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Statistical Techniques In Business & Economics W/Cd
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Statistical Techniques In Business & Economics W/Cd

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Description

The book is known for its comprehensive coverage of statistical concepts and methods delivered in a student-friendly,step-by-step format. The text is non-threatening and presents concepts clearly and succinctly with a conversational writing style. All statistical concepts are illustrated with solved applied examples immediately upon introduction. Self reviews and exercises for each section, and review sections for groups of chapters also support the student learning steps. Modern computing applications (Excel, Minitab, and MegaStat) are introduced.
Key Features:

Straightforward step-by-step presentation, supported by solved examples, self reviews, exercises and review sections.

Larger data sets, with the files included on CD, and exercises aimed at using technology resources make this a practical and modern text. Realistic and relevant applications, optional computer and web-based exercises, and the wealth of resources on the Student CD provide students with a motivating, applied, learning experience.

Z Versus T: The division between the z and t distributions is based on sigma known or unknown rather than on sample sizes

Multiple Regression: Treatment includes an investigation of the theory behind the linear model along with tests for the violation of each assumption.
About the Author:

Douglas Lind
Adjunct professor at Coastal Carolina University. He earned his Ph.D. and an MBA from The University of Toledo and a Bachelor of Science in Business from Bowling Green State University.



Dr. Lind is the co-author with the late Robert D. Mason and William G. Marchal of Statistical Techniques in Business and Economics and Basic Statistics for Business and Economics published by Irwin/McGraw-Hill and Statistics: An Introduction published by Duxbury. In addition he has written Study Guides to be used with these texts.



William Marchal
Professor of Information Systems and Operations Management at The University of Toledo College of Business Administration. He received his B.S. degree in Mathematics from The University of Dayton, an M.A. in Mathematics from The Catholic University of America, and his D. Sc. in Operations Research from The George Washington University. Dr. Marchal has held visiting appointments at The University of Michigan and George Mason University. He has also 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 & Development Center.



Samuel Wathen
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
Table of Content:


1. What is Statistics?


2. Describing Data: Frequency Distributions 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 Intervals


10. One-Sample Tests of Hypothesis


11.Two-Samples Tests of Hypothesis


12. Analysis of Variance


13. Linear Regression and Correlation


14. Multiple Regression and Correlation Analysis


15. Nonparametric Methods: Chi-Square Applications


16. Nonparametric Methods: Analysis of Ranked Data


17. Statistical Quality Control


18. Index Numbers


19. Time Series and Forecasting


20. An Introduction to Decision Theory


Appendixes


Answers to Odd-Numbered Chapter Exercises


Answers to Odd-Numbered Review Exercises


Photo Credits


Index

Details

Book: Statistical Techniques In Business & Economics W/Cd
Author: , , ,
ISBN-13: 9780070667075
Product Code EBK0197235
Binding: Paper Back
Publishing Date: 2008
Publisher: Tata Mcgraw Hill Publishing Co Ltd
Language: English

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