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Lean Six SIGMA and Minitab

Lean Six SIGMA and Minitab
Author: Quentin Brook
Publisher:
Total Pages: 314
Release:
Genre:
ISBN: 9780995789920

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Design of Experiments With Minitab

Design of Experiments With Minitab
Author: Paul G. Mathews
Publisher: Quality Press
Total Pages: 521
Release: 2004-07-07
Genre: Business & Economics
ISBN: 0873895878

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Most of the classic DOE books were written before DOE software was generally available, so the technical level that they assumed was that of the engineer or scientist who had to write his or her own analysis software. In this practical introduction to DOE, guided by the capabilities of the common software packages, Paul Mathews presents the basic types and methods of designed experiments appropriate for engineers, scientists, quality engineers, and Six Sigma Black Belts and Master Black Belts. Although instructions in the use of Minitab are detailed enough to provide effective guidance to a new Minitab user, the book is still general enough to be very helpful to users of other DOE software packages. Every chapter contains many examples with detailed solutions including extensive output from Minitab.


Problem Solving and Data Analysis Using Minitab

Problem Solving and Data Analysis Using Minitab
Author: Rehman M. Khan
Publisher: John Wiley & Sons
Total Pages: 715
Release: 2013-01-28
Genre: Mathematics
ISBN: 1118307526

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Six Sigma statistical methodology using Minitab Problem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving. Each example and exercise is broken down into the exact steps that must be followed in order to take the reader through key learning points and work through complex analyses. Exercises are featured at the end of each example so that the reader can be assured that they have understood the key learning points. Key features: Provides readers with a step by step guide to problem solving and statistical analysis using Minitab 16 which is also compatible with version 15. Includes fully worked examples with graphics showing menu selections and Minitab outputs. Uses example based learning that the reader can work through at their pace. Contains hundreds of screenshots to aid the reader, along with explanations of the statistics being performed and interpretation of results. Presents the core statistical techniques used by Six Sigma Black Belts. Contains examples, exercises and solutions throughout, and is supported by an accompanying website featuring the numerous example data sets. Making Six Sigma statistical methodology accessible to beginners, this book is aimed at numerical professionals, students or academics who wish to learn and apply statistical techniques for problem solving, process improvement or data analysis whilst keeping mathematical theory to a minimum.


Minitab Demystified

Minitab Demystified
Author: Andrew Sleeper
Publisher: McGraw Hill Professional
Total Pages: 576
Release: 2011-08-22
Genre: Business & Economics
ISBN: 0071762302

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Need to learn Minitab? Problem Solved! Get started using Minitab right way with help from this hands-on guide. Minitab Demystified walks you through essential Minitab features and shows you how to apply them to solve statistical analysis problems. Featuring coverage of Minitab 16, this practical guide explores the Minitab interface and the full range of Minitab graphics, Distribution models, statistical intervals, hypothesis testing, and sample size calculations are clearly explained. The book covers modeling tools of regression and the design of experiments (DOE) as well as the industrial quality tools of measurement systems analysis, control charts, capability analysis, acceptance sampling, and reliability analysis. Detailed examples and concise explanations make it easy to understand the material, and end-of-chapter quizzes and a final exam help reinforce key concepts. It's a no-brainer! You'll learn about: Accessing powerful Minitab functions with the Minitab assistant Confidence, prediction, and tolerance intervals Designing and analyzing experiments with hard-to-change variables Statistical process control (SPC), Six Sigma applications, and quality control Predicting the economic impact of sampling Analyzing life data with additional variables Simple enough for a beginner, challenging enough for an advanced student, and thorough enough for a Six Sigma professional, Minitab Demystified is your shortcut to statistical analysis success!


Design and Analysis of Experiments, Minitab Manual

Design and Analysis of Experiments, Minitab Manual
Author: Douglas C. Montgomery
Publisher: John Wiley & Sons
Total Pages: 122
Release: 2010-04-26
Genre: Technology & Engineering
ISBN: 0470169907

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This bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in several chapters, including new developments in robust design and factorial designs. New examples and exercises are also presented to illustrate the use of designed experiments in service and transactional organizations. Engineers will be able to apply this information to improve the quality and efficiency of working systems.


Industrial Statistics with Minitab

Industrial Statistics with Minitab
Author: Pere Grima Cintas
Publisher: John Wiley & Sons
Total Pages: 420
Release: 2012-08-02
Genre: Mathematics
ISBN: 1118383788

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Industrial Statistics with MINITAB demonstrates the use of MINITAB as a tool for performing statistical analysis in an industrial context. This book covers introductory industrial statistics, exploring the most commonly used techniques alongside those that serve to give an overview of more complex issues. A plethora of examples in MINITAB are featured along with case studies for each of the statistical techniques presented. Industrial Statistics with MINITAB: Provides comprehensive coverage of user-friendly practical guidance to the essential statistical methods applied in industry. Explores statistical techniques and how they can be used effectively with the help of MINITAB 16. Contains extensive illustrative examples and case studies throughout and assumes no previous statistical knowledge. Emphasises data graphics and visualization, and the most used industrial statistical tools, such as Statistical Process Control and Design of Experiments. Is supported by an accompanying website featuring case studies and the corresponding datasets. Six Sigma Green Belts and Black Belts will find explanations and examples of the most relevant techniques in DMAIC projects. The book can also be used as quick reference enabling the reader to be confident enough to explore other MINITAB capabilities.


Six Sigma Quality Improvement with Minitab

Six Sigma Quality Improvement with Minitab
Author: G. Robin Henderson
Publisher: John Wiley & Sons
Total Pages: 536
Release: 2011-06-28
Genre: Mathematics
ISBN: 1119976189

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This book aims to enable readers to understand and implement, via the widely used statistical software package Minitab (Release 16), statistical methods fundamental to the Six Sigma approach to the continuous improvement of products, processes and services. The second edition includes the following new material: Pareto charts and Cause-and-Effect diagrams Time-weighted control charts cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) Multivariate control charts Acceptance sampling by attributes and variables (not provided in Release 14) Tests of association using the chi-square distribution Logistic regression Taguchi experimental designs


A Minitab Guide to Statistics

A Minitab Guide to Statistics
Author: Ruth K. Meyer
Publisher:
Total Pages: 436
Release: 2001
Genre: Business & Economics
ISBN: 9780130141569

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Disk contains: Appendix -- Example data files -- Exercises.


Minitab Manual

Minitab Manual
Author: Vukov
Publisher: Prentice Hall
Total Pages: 196
Release: 2002-02-20
Genre: Mathematics
ISBN: 9780130669223

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Integrates the statistical computing package MINITAB(tm) into an Introductory Statistics course, using Statistics by McClave/Sincich, 9/e.