Hi All,
Thank you for all your help.
In future I will state if it's homework related.
regards
Brendan
beetle2 wrote:
>
> 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
beetle2 [Sun, Apr 19, 2009 at 03:01:43AM CEST]:
>
> I'm thinking I will just use:
> results <- rbinom(1000, 10, .25)
> d = sum(results == 0 )
> df = (d/1000)
> df
>
> And do each individually
ok, at least you are trying some things out for yourself. In fact, along
with reading the doc, this is
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
I've done some study.
And made a couple of loops to compare the dbinom() and rbinom()
Here are the results:
The instructor only asked for 1000 trials so its not that accurate. but its
close to it.
> for(x in c(1:10))
+ {print(dbinom(x,10,.25)) }
[1] 0.1877117
[1] 0.2815676
[1] 0.2502823
[1] 0.1
I'm thinking I will just use:
results <- rbinom(1000, 10, .25)
d = sum(results == 0 )
df = (d/1000)
df
And do each individually
beetle2 wrote:
>
> 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 calcula
Sorry guys one quick question
I've graphed the histogram with
hist(rbinom(n = 1000, size = 10, prob = 0.25))
How to I sum the individual values 0 to 12?
regards
Brendan
beetle2 wrote:
>
> Hi Guy's
> I was wondering if someone could point me in the right direction.
>
> dbinom(10,1,0.25)
>
> I
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 anythin
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 probabilit
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:
> db
beetle2 [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 dens
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.
I was wondering how I would go about simulating 1000 trials of each x value
?
regards
Brendan
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