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 > <samandbren...@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 >> >> >> -- >> View this message in context: >> http://www.nabble.com/Binomial-simulation-tp23106347p23109522.html >> Sent from the R help mailing list archive at Nabble.com. >> >> ______________________________________________ >> R-help@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. >> > > ______________________________________________ > R-help@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. > > -- View this message in context: http://www.nabble.com/Binomial-simulation-tp23106347p23117793.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@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.
