Minitab Demystified, Sleeper Andrew

Автор: Arthur Jay
Название: Lean Six SIGMA Demystified, Second Edition
ISBN: 0071749098 ISBN-13(EAN): 9780071749091
Издательство: McGraw-Hill
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Цена: 5489.00 р.
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Описание: This update to the top-selling first edition makes Six Sigma as easy as 1-2-3!

Автор: Cheng-Few Lee; John C. Lee; Jow-Ran Chang; Tzu Tai
Название: Essentials of Excel, Excel VBA, SAS and MINITAB for Statistical and Financial Analyses
ISBN: 3319388657 ISBN-13(EAN): 9783319388656
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This introductory textbook for business statistics teaches statistical analysis and research methods via business case studies and financial data using Excel, Minitab, and SAS. Every chapter in this textbook engages the reader with data of individual stock, stock indices, options, and futures.One studies and uses statistics to learn how to study, analyze, and understand a data set of particular interest. Some of the more popular statistical programs that have been developed to use statistical and computational methods to analyze data sets are SAS, SPSS, and Minitab. Of those, we look at Minitab and SAS in this textbook. One of the main reasons to use Minitab is that it is the easiest to use among the popular statistical programs. We look at SAS because it is the leading statistical package used in industry. We also utilize the much less costly and ubiquitous Microsoft Excel to do statistical analysis, as the benefits of Excel have become widely recognized in the academic world and its analytical capabilities extend to about 90 percent of statistical analysis done in the business world. We demonstrate much of our statistical analysis using Excel and double check the analysis and outcomes using Minitab and SAS—also helpful in some analytical methods not possible or practical to do in Excel.

Автор: Greenfield
Название: Design and Analyse Your Experiment Using Minitab
ISBN: 0470711140 ISBN-13(EAN): 9780470711149
Издательство: Wiley
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Цена: 7754.00 р.
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Описание: Progress in engineering and the physical sciences, agriculture and the biological sciences, and to some extent social science, depends on experiments. The design of such experiments is crucial. If they are poorly designed they will be inefficient and may lead to misleading conclusions.