With due respect, and in all fairness, you should inform your instructor that you took help from R's mailing list for doing homework.
This mailing list (or any other general mailing list for that matter) is not for doing your (or anyone else's) homework. If the instructor allowed that, that is a different story but you should state that in your post to the mailing list. Ranjan On Sat, 18 Apr 2009 15:06:15 -0700 (PDT) beetle2 <samandbren...@aapt.net.au> wrote: > > 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. > ______________________________________________ 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.
