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Precision - or lack there of

On 12/9/2006 9:26 AM, John Sorkin wrote:
These are all cases where the theoretical distributions are easy to 
calculate, and the results you are getting are not particularly unusual:
> pnorm(-0.03209727, sd=1/sqrt(500))
[1] 0.2364660
> pnorm(-0.005991322, sd=1/sqrt(5000))
[1] 0.3359104

[skipped some]
> pnorm(-0.0001325764, sd=1/sqrt(50000000))
[1] 0.1742618
No, the lack of precision seems to be due to the distributions you are 
sampling from.

Duncan Murdoch