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Statistical Techniques in Business and Economics https://www.mheducation.com/cover-images/Jpeg_400-high/1265322465.jpeg 19 2024 9781265322465
09781265322465
Statistical Techniques in Business and Economics
Statistical Techniques in Business and Economics

Statistical Techniques in Business and Economics, 19th Edition

ISBN10: 1265322465 | ISBN13: 9781265322465
By Douglas Lind, William Marchal and Samuel Wathen
© 2024

Purchase Options:

* The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.

Additional Product Information:

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, 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 Forecasting with Time Series Analysis 

19 Statistical Process Control and Quality Management 

20 An Introduction to Decision Theory (Online Only) 

Appendixes 

Appendixes, Data Sets, Tables, Software Commands, Answers 


Connect

By prompting students to engage with key concepts, while continually adapting to their individual needs, Connect activates learning and empowers students to take control resulting in better grades and increased retention rates. Proven online content integrates seamlessly with our adaptive technology, and helps build student confidence outside of the classroom.

SmartBook® 2.0

Available within Connect, SmartBook 2.0 is an adaptive learning solution that provides personalized learning to individual student needs, continually adapting to pinpoint knowledge gaps and focus learning on concepts requiring additional study. SmartBook 2.0 fosters more productive learning, taking the guesswork out of what to study, and helps students better prepare for class. With the ReadAnywhere mobile app, students can now read and complete SmartBook 2.0 assignments both online and off-line. For instructors, SmartBook 2.0 provides more granular control over assignments with content selection now available at the concept level. SmartBook 2.0 also includes advanced reporting features that enable instructors to track student progress with actionable insights that guide teaching strategies and advanced instruction, for a more dynamic class experience.

Video tutorial:

Your text has great instructor tools, like presentation slides, instructor manuals, test banks and more. Follow the steps below to access your instructor resources or watch the step-by-step video.

Steps to access instructor resources:

  1. To get started, visit connect.mheducation.com to sign in. (If you do not have an account, request one from your McGraw Hill rep. To find your rep, visit Find Your Rep)
  2. Then, under "Find a Title," search by title, author, or subject
  3. Select your desired title, and create a course. (You do not have to create assignments, just a course instance)
  4. Go to your Connect course homepage
  5. In the top navigation, select library to access the title's instructor resources

About the Author

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 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 Real‐Life Major League Baseball Data in an Introductory Statistics Course” in the Decision Sciences Journal of Innovative Education.  

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