Design for Six Sigma Statistics, Chapter 2 - Visualizing Data

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McGraw Hill Professional, Dec 5, 2005 - Business & Economics - 68 pages
Here is a chapter from Design for Six Sigma Statistics, written by a Six Sigma practitioner with more than two decades of DFSS experience who provides a detailed, goal-focused roadmap. It shows you how to execute advanced mathematical procedures specifically aimed at implementing, fine-tuning, or maximizing DFSS projects to yield optimal results. For virtually every instance and situation, you are shown how to select and use appropriate mathematical methods to meet the challenges of today's engineering design for quality.
 

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Contents

21 Case Study Data Graphed Out of Context Leads to Incorrect Conclusions
34
22 Visualizing Time Series Data
38
23 Visualizing the Distribution of Data
50
24 Visualizing Bivariate Data
74
25 Visualizing Multivariate Data
85
26 Summary Guidelines for Visualizing Data with Integrity
93
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