search for: wilcoxin

Hi! I have a data set of 86 values that are non-normally distributed (counts). The median value is 10. I want to get an estimate of the 95% confidence interval for this median value. I tried to use a one-sample Wiolcoxin test: wilcox.test(Comps,mu=10,conf.int=TRUE) and got the following output: Wilcoxon signed rank test with continuity correction data: Comps V = 2111, p-value = 0.05846

Hi! I'm comparing the differences in contaminant concentration between 2 different groups of people ( N=36, N=37). When using a simple linear regression model I found no differences between groups, but when evaluating the diagnostic plots of the residuals I found my independent variable to have deviations from normality (even after log transformation). Therefore I have used bootstrap on

Please forgive a stats question. I have to sets of data (unpaired) measured on an ordinal scale. I want to test to see if the two sets are different (i.e. do they have the same location): set1: 1,3,2,2,4,3,3,2,2 set: 4,4,4,3,3,5,4,4 What is the most appropriate non-parametric test to test location? Thanks, John Confidentiality Statement: This email message, including any attachments, is