Statistical Techniques in Business and Economics 17th Edition PDF

Do you happen to have been searching for a place where you can download statistical techniques in business and economics 17th edition pdf free without restriction? would you like to get statistical techniques in business and economics 17th edition McGraw hill? Have you lost all hopes of finding where to download statistical techniques in business and economics 17th edition pdf? Well, you just go to the end of your search. You can get statistical techniques in business and economics 17th edition right here at no cost at all! Not only will you get statistical techniques in business and economics 17th edition pdf But you will also get statistical techniques in business and economics 17th edition solution manual pdf for free! So, relax and get yourself with our site today.

Statistical Techniques in Business and Economics 17th Edition PDF book is a very nice book that will help you understand statistical techniques better. The chapters are short, concise, and straight to the point. The solved examples are really good and simple and gradually take you to a more advanced level. The exercises following each section are very well placed. Overall, It’s very good for business and economics.

Table of Contents

Statistical Techniques in Business and Economics 17th Edition eBook Details (PDF)

  • Book Title: Statistical Techniques in Business and Economics
  • Author: Douglas A. Lind
  • Publish Date: 2017
  • Publisher: McGraw-Hill/Irwin
  • ISBN: 1259666360
  • Formats: PDF
  • No. of pages: 897
  • Size: 82 MB (85643768 B)
  • File Status: Available for Download
  • Price: Free

Statistical Techniques in Business and Economics 17th Edition PDF Book Description

Lind/Marchal/Wathen is a perennial market best seller due to its comprehensive coverage of statistical concepts and methods delivered in a student friendly, step-by-step format. The text presents concepts clearly and succinctly with a conversational writing style and illustrates concepts through the liberal use of business-focused examples that are relevant to the current world of a college student. Known as a “student’s text,“ Lind’s supporting pedagogy includes self-reviews, cumulative exercises, and coverage of software applications including Excel, Minitab, and MegaStat for Excel. And now, McGraw-Hill’s adaptive learning component, LearnSmart, provides assignable modules that help students master chapter core concepts and come to class more prepared. In addition, resources within Connect help students solve problems and apply what they’ve learned. Lind’s real-world examples, comprehensive coverage, and superior pedagogy combine with a complete digital solution to help students achieve higher outcomes in the course.

Statistical Techniques in Business and Economics 17th Edition PDF Book Table of Contents

1. What Is Statistics?
2. Describing Data: Frequency Tables, 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-Sample Tests of Hypothesis
12. Analysis of Variance
13. Correlation and Linear Regression
14. Multiple Regression Analysis
15. Nonparametric Methods: Nominal Level Hypothesis Tests
16. Nonparametric Methods: Analysis of Ordinal Data
17. Index Numbers
18. Time Series and Forecasting
19. Statistical Process Control and Quality Management
20. An Introduction to Decision Theory

About the Author(s)

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 Professor 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. 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.

Get Statistical Techniques in Business and Economics 17th Edition PDF Free Download Below:

Download Now OR Download Here

0 0 votes
Article Rating
Subscribe
Notify of
guest
0 Comments
Inline Feedbacks
View all comments
0
Would love your thoughts, please comment.x
()
x