Analyze Phase

K. Muralidharan ()
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K. Muralidharan: M. S. University of Baroda, Department of Statistics, Faculty of Science

Chapter Chapter 9 in Six Sigma for Organizational Excellence, 2015, pp 237-362 from Springer

Abstract: Abstract The essence of any Six Sigma project is the analysis part of measured data. Most of the analytical tools are presented and illustrated in this chapter. This includes the discussion on parametric and nonparametric inferences. The parameter estimation and confidential estimation are carried out for various process characteristics. Similar attempt is made on hypothesis testing of parameters and goodness-of-fit of the models. The technique used to test hypothesis for a multitude of parameters relating to population means known as the analysis of variance is also studied in detail. Further, the modeling relationship between variables is studied through correlation and regression analysis, which includes both linear and nonlinear models. Some of the management tools such as root cause analysis, fault tree analysis (FTA), and 5-Why’s techniques essential for deciding the critical-to-quality parameters are also a part of this chapter.

Keywords: Brainstorming; Probability plotting; Scatter diagram; Binary regression; Multicollinearity; Significance level; Critical region; Logistic regression; P-value; Rank test (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-81-322-2325-2_9

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DOI: 10.1007/978-81-322-2325-2_9

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