Six Sigma Statistics with EXCEL and MINITAB

Name: Six Sigma Statistics with EXCEL and MINITAB
Author: Issa Bass

Specificaties

Paperback, 374 blz. | Engels

McGraw-Hill Education | 1e druk, 2007

ISBN13: 9780071489690

Rubricering

McGraw-Hill Education 1e druk, 2007 9780071489690

Verwachte levertijd ongeveer 8 werkdagen

61,23

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Samenvatting

Master the Statistical Techniques for Six Sigma Operations, While Boosting Your Excel and Minitab Skills!

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

Specificaties

ISBN13:9780071489690

Trefwoorden:statistiek, six sigma, Excel

Taal:Engels

Bindwijze:paperback

Aantal pagina's:374

Uitgever:McGraw-Hill Education

Druk:1

Verschijningsdatum:27-6-2007

Hoofdrubriek:inkoop en logistiek

Inhoudsopgave

1. Introduction
2. Introduction to Minitab and Excel
3. Basic tool for data collection, organization and description
4. Introduction to Basic Probability
5. How to Determine, Analyze, and Interpret Your Samples
6. Hypothesis Testing
7. Statistical Process Control
8. Process Capability Analysis
9. Analysis of Variance
10. Regression Analysis
11. Design of Experiment
12. The Taguchi Method
13. Measurement Systems Analysis-MSA: Is Your Measurement Process Lying to You?
14. Nonparametric Statistics
15. Pinpointing the Vital Few Root Causes

Index