R'mms,
Prof. Brian Ripley, wrote>>Maybe because the CLT is a limit for large n? Or maybe >>you did
not use
>>the correct distribution theory for those tests? That >>for the KS
test
>>applies to samples from a continuous distribution, an >>yours is
quite
I quite agree that the Bernoulli is discrete, but i have read that Sn(sum of n
bernoulli variables with prob of success=p) will converge in law to Normal, if
we standardize these as i mentioned before, this will be N(0,1), I admit it wont
work for 45, but it still doesnt pass the KS test for 200, and i thought this
test in practise worked for discrete. I wrote the same program in Mathematica,
where the Null is accepted at n=170-200.
Thanks
sapsi
sapsi at bigfoot.com
_____________________________________________________
Chat with your friends as soon as they come online. Get Rediff Bol at
http://bol.rediff.com
-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-
r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
Send "info", "help", or "[un]subscribe"
(in the "body", not the subject !) To: r-help-request at
stat.math.ethz.ch
_._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._