Dear List Members,

I have two small samples (n=20), the distributions are highly skewed. Does
it make any sense to do a boostrap test to check for difference in means?
And if so, could this be done like this:

x <- numeric(10000)

for(i in 1:10000) {

x[i] <- mean(sample(sample1,replace=TRUE)) -
mean(sample(sample2,replace=TRUE))

}

(mean(sample1)-mean(sample2))/sd(x)

Regards,

Erika

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