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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.…mehr

Produktbeschreibung
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.
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.