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

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