Too often quality practitioners and other engineers and scientists ignore the fundamental requirements of a study design that enable the use of p values and the null hypothesis approach to statistical studies. This renders the conclusions of the study unreliable at worst, at best it leads to confusion regarding what conclusions can be made.
Two case studies are presented that demonstrate the role of non-homogeneity in study designs. An analytic study approach is explained that makes Normality, the null hypothesis and p values irrelevant in industrial statistics. The approaches provided will help you to develop more productive and reliable study designs...
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Two case studies are presented that demonstrate the role of non-homogeneity in study designs. An analytic study approach is explained that makes Normality, the null hypothesis and p values irrelevant in industrial statistics. The approaches provided will help you to develop more productive and reliable study designs...
Please click the orangeish "Download" button (Upper Right). Clicking the "Download Button" will take you directly to the resource.
