Two fair dice are rolled 5 times. Let the random variable x represent the number of times that the sum 6 occurs. The table below describes the probability distribution. Find the value of the missing probability.
The value I entered is correct because I know they must sum to one. I was wondering how I would calculate this without the rest of the table though. Here was my thought process which does not seem to be correct.
Possible ways to sum to 6 would be $\frac{5}{36}$. So I assumed this could then be used from a binomial probability distribution standpoint. So assuming I am looking for the sum of 6 occurring 4 times out of 5 tosses:
$ 5 \choose 4$ $*(\frac{5}{36})^{4}(1-\frac{5}{36})^{1} $
I thought the above should give me the the probability for having 4 out of my 5 tosses be successful in having the sum 6 occur.
Best Answer
You seem to be on the right track with the random variable $X \sim \mathsf{Binom}(5, 5/36).$ Maybe you are making a computational error:
From R statistical software:
$P(X=4)$ directly from your formula: (Do you have ${5 \choose 4} = 5?$)
Image from your Question: