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Statistics for Six Sigma Black Belts by Matthew A. Barsalou (2014, Hardcover)
US $37,98
CircaEUR 32,49
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US $4,63 (circa EUR 3,96) USPS Ground Advantage®.
Oggetto che si trova a: La Vergne, Tennessee, Stati Uniti
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Consegna prevista tra il ven 18 lug e il gio 24 lug a 94104
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Numero oggetto eBay:276664812575
Specifiche dell'oggetto
- Condizione
- ISBN
- 9780873898928
Informazioni su questo prodotto
Product Identifiers
Publisher
Quality Press
ISBN-10
0873898923
ISBN-13
9780873898928
eBay Product ID (ePID)
242912223
Product Key Features
Book Title
Statistics for Six Sigma Black Belts
Publication Year
2014
Topic
Quality Control
Language
English
Genre
Business & Economics
Format
Hardcover
Additional Product Features
LCCN
2014-038327
Dewey Edition
23
Dewey Decimal
658.5/620218
Synopsis
This book is written for the Six Sigma Black Belt who needs an understanding of many statistical methods but does not use all of these methods every day. It is intended to be used as a quick reference, providing basic details, step-by-step instructions, and Minitab statistical software instructions. Six Sigma Black Belts typically use a statistical program such as Minitab to perform calculations, but an understanding of the underlying statistics is still needed. Anybody can type data into a program; a Black Belt must be capable of understanding which hypothesis test is appropriate for a given use, as well as the assumptions that must be met to correctly perform the hypothesis test. The methods presented here are laid out according to the Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) phases in which they are typically used. However, these methods can also be applied outside of a Six Sigma project, such as when one simply needs to determine whether there is a difference in the means of two processes producing the same parts. A Six Sigma Black Belt using Statistics for Six Sigma Black Belts will be able to quickly zero in on appropriate methods and follow the examples to reach the correct statistical conclusions.
LC Classification Number
TS156.B4316 2015
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