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Tests for Detecting Non-Normality – Good Practices & Pitfalls

There are several normality tests: Shapiro-Wilk, Kolmogorov-Smirnov, Anderson-Darling, Liliefors, Jarque-Bera, Anscombe-Glynn, Cramer--von Mises, etc. Normality Tests @Statistical.Solutions Pitfalls ♦️ "Non-" Normality tests" vary in the type of departures from normality…

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December 26, 2024
Read more about the article Advanced Experimental Designs

Advanced Experimental Designs

Learn about advanced experimental designs to account for experimental various types of constraints such as time, available resources, material heterogeneity, randomization restrictions when certain factors are more difficult or costly to change than others, different sizes of experimental units as well as repeated measures. In this course, the construction of advanced designs and their statistical analysis is covered with the help of real case studies.