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 nonparametric 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 X_{1}, X_{2}, ... , X_{n} 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.


Home Statistical Tests Outlier Tests Walsh's Outlier Test 
Last Update: 20121008