Working With Sample Data Exploration and Inference

Ebook from IG Library ; 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...

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Bibliographic Details
Main Author: Stengel, Donald N
Other Authors: Chaffe-Stengel, Priscilla
Format: Book
Language:Undetermined
Published: Business Expert Press 2011
Subjects:
Online Access:http://lrc.tdmu.edu.vn/opac/search/detail.asp?aID=2&ID=38251
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Institutions: Trung tâm Học liệu Trường Đại học Thủ Dầu Một
Description
Summary:Ebook from IG Library ; 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. Although some statistical techniques for analyzing data and making inferences are sophisticated and require specialized expertise, there are methods that are understandable and applicable by anyone with basic algebra skills and the support of a spreadsheet package. By applying these fundamental methods themselves rather than turning over both the data and the responsibility for analysis and interpretation to an expert, managers will develop a richer understanding and potentially gain better control over their environment. 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 detail for the reader how to apply Microsoft Excel.
Physical Description:164Pages