Six Sigma Statistics with Excel and Minitab

  • 3h 55m
  • Issa Bass
  • McGraw-Hill
  • 2007

Now with the help of this “one-stop” resource, operations and production managers can learn all the powerful statistical techniques for Six Sigma operations, while becoming proficient at Excel and Minitab at the same time.

Six Sigma Statistics with Excel and Minitab offers a complete guide to Six Sigma statistical methods, plus expert coverage of Excel and Minitab, two of today's most popular programs for statistical analysis and data visualization.

Written by a seasoned Six Sigma Master Black Belt, the book explains how to create and interpret dot plots, histograms, and box plots using Minitab…decide on sampling strategies, sample size, and confidence intervals…apply hypothesis tests to compare variance, means, and proportions…conduct a regression and residual analysis…design and analyze an experiment…and much more.

Filled with clear, concise accounts of the theory for each statistical method presented, Six Sigma Statistics with Excel and Minitab features:

  • Easy-to-follow explanations of powerful Six Sigma tools
  • A wealth of exercises and case studies
  • 200 graphical illustrations for Excel and Minitab

Essential for achieving Six Sigma goals in any organization, Six Sigma Statistics with Excel and Minitab is a unique, skills-building toolkit for mastering a wide range of vital statistical techniques, and for capitalizing on the potential of Excel and Minitab.

In this Book

  • Introduction
  • An Overview of Minitab and Microsoft Excel
  • Basic Tools for Data Collection, Organization and Description
  • Introduction to Basic Probability
  • How to Determine, Analyze, and Interpret Your Samples
  • Hypothesis Testing
  • Statistical Process Control
  • Process Capability Analysis: Are Your Processes Yielding Products or Services That Meet Your Customers' Expecta265 tions?
  • Analysis of Variance
  • Regression Analysis
  • Design of Experiment
  • The Taguchi Method
  • Measurement Systems Analysis —MSA: Is Your Measurement Process Lying to You?
  • Nonparametric Statistics
  • Pinpointing the Vital Few Root Causes
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