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Erol Pekoz
The Manager's Guide to Statistics, 2018 edition

The Manager's Guide to Statistics, 2018 edition

by Erol PekozErol Pekoz


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Finally, an introduction to statistics for aspiring managers, leaders and decision makers who do not need to know all the details of statistical theory and just want real applications and commonsense explanations using words and diagrams -- without a jumble of Greek letters and mathematical formulas. The focus is on conceptual understanding, simplicity, and counterintuitive phenomena that can occur. This textbook is for an undergraduate or MBA introductory statistics course and covers summary statistics, probability, hypothesis testing, correlation, multiple regression, and includes an Excel add-in for histograms and stepwise regression. The author Erol Peköz teaches on the faculty of the Boston University School of Management and is the author of numerous technical articles and the recent book A Second Course in Probability.

Product Details

ISBN-13: 9780979570421
Publisher: Erol Pekoz
Publication date: 01/01/2018
Pages: 484
Sales rank: 110,365
Product dimensions: 7.50(w) x 9.25(h) x 0.97(d)

About the Author

Erol Peköz is a professor of Operations and Technology Management in the Questrom School of Business at Boston University. He has a BS degree from Cornell University, and MS and Ph.D degrees in Operations Research from University of California, Berkeley. His research is focused in three areas: probability approximations and network science, healthcare quality and provider profiling, and queueing models and reliability for operations. His work appears in academic journals such as Annals of Probability, Annals of Applied Probability, Statistics in Medicine, Bernoulli, Journal of Applied Probability and Medical Care. He has conducted research funded by the Department of Health and Human Services, Agency for Healthcare Research and Quality, the Robert Wood Johnson Foundation, and the Veterans Health Administration. He has also worked as a consultant for Pfizer and Accenture. Professor Peköz has also taught at Harvard, UCLA and also at UC Berkeley, where he received an award for outstanding instruction.

Table of Contents

  1. Seeing the Real Story
  2. Summarizing and Displaying Data
  3. The Normal Curve
  4. How to Tell a Statistical Story with a Graph
  5. Correlation
  6. Regression
  7. Introduction to Multiple Regression
  8. Probability
  9. Sampling Variability and Standard Error
  10. Confidence Intervals
  11. Hypothesis Testing
  12. Building Multiple Regression Models

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