Working With Sample Data - Exploration and Inference

Managers and analysts routinely collect and examine key performance measures to better understand their operations and make good decisions. Being able to render the complexity of operations data into a coherent account of significant events requires an understanding of how to work well with raw data and to make appropriate inferences. This text is intended to describe these fundamental statistical techniques to managers, data analysts, and students. Statistical analysis of sample data is enhanced by the use of computers. Spreadsheet software is well suited for the methods discussed in this text. Examples in the text apply Microsoft Excel.

About the author

Priscilla Chaffe-Stengel Fresno, CA; Professor of Information Systems and Decision Sciences; California State University, Fresno Donald Stengel Fresno, CA; Professor and chair of the Department of Information Systems and Decision Sciences; California State University, Fresno

Summary

Managers and analysts routinely collect and examine key performance measures to better understand their operations and make good decisions. This book is intended to describe these fundamental statistical techniques to managers, data analysts, and students.

Product details

• Authors: Priscilla Chaffe-Stengel, Priscilla M. Chaffe-Stengel, Donald Stengel, Donald N. Stengel
• Publisher: MCGRAW-HILL Professional
• Languages: English
• Product format: Paperback / Softback
• Released: 15.06.2012
• EAN: 9781606492130
• ISBN: 978-1-60649-213-0
• Dimensions: 155 mm x 230 mm x 11 mm
• Weight: 244 g
• Series: The Quantitative Approaches to Decision Making Collection; The Quantitative Approaches to Decision Making Collection
• Subject: Social sciences, law, business > Business > Miscellaneous