[R] Binomial simulation

[beetle2]

Thank you for your help!
Yes you are right the probabilities are for the values 0 through 12.
I been asked to compare the simulated values to that of dbinom()
once again thanks!





Ranjan Maitra wrote:
> 
> This sounds like a potential homework problem. You don't quite need to
> simulate anything if your question is all you have been asked to do.
> 
> dbinom(x = 1:10, size = 10, prob = 0.25)
> 
> Perhaps you have been asked to simulate 1000 realizations and compare
> the relative frequencies with these probabilities: use 
> 
> rbinom(n = 1000, size = 10, prob = 0.25)
> 
> in that case and compare the relative frequencies.
> 
> Btw, there is a small chance of getting a 0. Are you sure the
> instructor (or whoever has issued the orders) wants only from 1:10?
> 
> HTH!
> Ranjan
> 
> On Fri, 17 Apr 2009 22:23:11 -0700 (PDT) beetle2
> <samandbrendan at aapt.net.au> wrote:
> 
>> 
>> 
>> Not being entirely sure what you mean, I think 
>> 
>> rbinom(1000, 10, .25) 
>> 
>> may be what you want. 
>> 
>> Hi,
>> Thanks for your reply.
>> It is close to that but I need to know the probabilty of how many judges
>> pick a certain brand.
>> Just say x= 6 judges pick brand A which has P=0.25.
>> 
>> Using R it would be:
>> > dbinom(6,10,.25)
>> [1] 0.016222
>> 
>> Probability of six judges choosing  brand A. Hence not very likely.
>> 
>> I have been asked to do this for all values of x = 1 to 10.
>> But the question says to simulate 1000 trials for each x value.
>> I'm not sure how to construct the simulation.
>> regards
>> Brendan
>> 
>> 
>> -- 
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>> 
>> ______________________________________________
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>> and provide commented, minimal, self-contained, reproducible code.
>>
> 
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> 
> 

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