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  • Suppose you have n repetitions of an experiment with only two possible outcomes each time: success and failure,
  • Suppose the probability of success at any trial is independent of the outcomes of other trials and is a constant, p.

Then, the probability of exactly r successes (0 < r < n) is

[nCr]*p^r*(1-p)^(n-r) where nCr = n!/[r!*((n-r)!].

n! stands for n factorial [=fact(n) in Excel] and is equal to 1*2*...*n and 0! = 1.

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Q: What is the binomial probability rule?
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What is the relationship between probability and the binomial theorem?

What is the symbol for a Probability of success in a binomial trial?


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The mean of a binomial probability distribution can be determined by multiplying the sample size times the probability of success.


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It is 0.6


The variance for the binomial probability distribution is?

n(p)(1-p) n times p times one minus p, where n is the number of outcomes in the binomial distribution, and p is the probability of a success.


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Probability of success in a binomial trial symbol?

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