beetle2 <samandbren...@aapt.net.au> [Fri, Apr 17, 2009 at 11:28:56PM CEST]:
>
> Hi Guy's
> I was wondering if someone could point me in the right direction.
>
> dbinom(10,1,0.25)
>
> I am using dbinom(10,1,0.25) to calculate the probabilty of 10 judges
> choosing a certain brand x times.
dbinom returns the discrete density of the binomial distribution, which
is in your case .75 at 0, .25 at 1 and 0 elsewhere (such as at 10).
Is dbinom(0:10, 10, .25) what you are driving at?
>
> I was wondering how I would go about simulating 1000 trials of each x value
> ?
Not being entirely sure what you mean, I think
rbinom(1000, 10, .25)
may be what you want.
--
Johannes Hüsing There is something fascinating about science.
One gets such wholesale returns of conjecture
mailto:johan...@huesing.name from such a trifling investment of fact.
http://derwisch.wikidot.com (Mark Twain, "Life on the Mississippi")
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