*** Power Table ***
mean1 sd1 mean2 sd2 delta alpha power n1 n2
1 66 4 80 4 14 0.05 0.8 2 2
This implies that if you have a group with mean of 80 and standard
deviation of 4
compared to a group with a mean of 66 and a standard deviation of 4 you
only need 2
members from each to find a statistically significant finding 80% of the
time at a .05 level.
Well, I then tested this by creating two vectors with these values and
then running t.tests on
samples of 2 members from each at a time and looked at the resultant p
values.
> boys<-rnorm(1000,80,4)
> girls<-rnorm(1000,66,4)
> for (i in
1:1000)(z[i]<-t.test(sample(boys,2,replace=T),sample(girls,2,replace=T))$p.value)
I then asked, how many of these z observations have a p value of .05 or
less. The result
was:
> length(z[z<.05])
[1] 484
> length(z)
[1] 1000
only 48.4% had a value of .05 or less. I should have expected 80%.
Why the difference?
Thank you in advance.
Sincerely,
Eran Bellin, M.D.
Department Outcome Analysis and Decision Support
Montefiore Medical Center
Bronx, N.Y.
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