Working With Sample Data: Exploration and Inference

by Priscilla Chaffe-Stengel, Donald N. Stengel

Overview

As a manager or an analyst, you routinely collect and examine key performance measures to better understand your company operations and to make good decisions. But rendering the complexity of operations data into a coherent account of significant events requires the ability to work well with raw data and to make appropriate inferences. This book can help.

This book details the methods to help you understand statistical techniques for analyzing data and to make inferences with sound reasoning. By applying these fundamental methods yourself, rather than turning over both the data and the responsibility for their analysis and interpretation to an expert, you can develop a richer understanding and potentially gain better control over your business environment. You’ll catch on quicker with the use of computers and spreadsheet software, and the authors provide examples that will show you how to explore data and makes inferences with Microsoft Excel.

Product Details

ISBN-13:	9781606492147
Publisher:	Business Expert Press
Publication date:	08/05/2011
Sold by:	Barnes & Noble
Format:	eBook
Pages:	162
File size:	5 MB

About the Author

Priscilla Chaffe-Stengel is a professor of Information Systems and Decision Sciences at California State University, Fresno. She received a PhD in design and evaluation of educational programs, an educational specialist degree in program evaluation from Stanford University, and an MA in mathematics from California State University, Fresno. Dr. Chaffe-Stengel has taught statistical analysis, quantitative analysis, and sampling at the university level; coordinates the quantitative and statistical analysis courses in the Craig School of Business; and teaches in both the MBA program and executive MBA program.
Donald N. Stengel is a professor and chair of the Department of Information Systems and Decision Sciences at California State University, Fresno. Previously he served as the director of the MBA program at California State University, Fresno. He received a PhD in engineering–economic systems from Stanford University. Prior to joining the faculty at California State University, Fresno, Dr. Stengel worked for 8 years as a management consultant, developing planning models for agriculture and energy. He teaches in both the MBA program and executive MBA program and is a member of the National Association for Business Economics, the Institute for Operations Research and Management Science, and the American Statistical Association.

Table of Contents

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. Readers will have access to the example workbooks and Adobe Flash videos illustrating key steps using Microsoft Excel from the Business Expert Press website.