[code]You could also use binomial probability distribution functions or binomial cumulative distribution functions.
n = # or trials
p = P(success)
r = # of successes
in form of:
binompdf(n,p,r) or
binomcdf(n,p,r)
n = 2
p = 0.6 {decimal of 60%)
only 1 success
binompdf as only one point is wanted
r = 1
binompdf(2,0.6,1) = 0.48 = 48%
more than 1 success
binomcdf as multiple points are wanted (in this case binompdf would also work)
I will take the cumulative probability or all integers from before 1 and take this away from total probability (1 or 100%)
r=0 {the first integer preceeding 1}
1 - binomcdf(2,0.6,0) = 1 - 0.16 = 0.84 = 84%
Just another way of proving the answer but this is more simple (only takes a couple of numbers to enter and really basic maths) and will be more valuable later when dealing with more complex questions. Hope I helped and not confused you more, if you need more explaination just PM me.
quote:
Originally posted by rix
Logically it would be 30%?! But heey, im not a rocket scientist.
I can see that
*Markee runs