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  • Format: ePub

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
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Produktbeschreibung
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.


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Autorenporträt
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.