Fundamentals of Statistics contains material of various lectures and courses of H. Lohninger on statistics, data analysis and chemometrics......click here for more. |
Home Statistical Tests Outlier Tests Walsh's Outlier Test | |||||||||||
See also: Outlier Test - Dean and Dixon | |||||||||||
Walsh's Outlier TestJ.E. Walsh developed a non-parametric test to detect multiple outliers in a data set. Although this test requires a large sample size (n>220 for a significance level α of 0.05), it may be used whenever the data are not normally distributed. Following are the instructions to perform a Walsh test for large sample sizes:Let X1, X2, ... , Xn represent the data ordered from smallest to largest. If n<60, do not apply this test. If 60<n<=220, then α = 0.10. If n >220 then α = 0.05.
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Home Statistical Tests Outlier Tests Walsh's Outlier Test |