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What is Lilliefors Correction in FFPI Testing about?

This document summarizes the results of normality tests and rank tests on two datasets: FFPI and APS-SF. For both datasets, the Kolmogorov-Smirnov and Shapiro-Wilk tests show that the data is not normally distributed at significance levels of 0.05 or less. However, the Mann-Whitney U and Wilcoxon W tests find no significant difference between the two groups for both FFPI (p=0.834) and APS-SF (p=0.762).

Author

Raluca Stan

Language

EN