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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