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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The mean of a binomial probability distribution can be determined by multiplying the sample size times the probability of success.
It is 0.6
The probability is 0.4448, approx.
the variance is infinitely large and in the extreme case the probability distribution curve will simply be a horizontal line
Poisson and Binomial both the distribution are used for defining discrete events.You can tell that Poisson distribution is a subset of Binomial distribution. Binomial is the most preliminary distribution to encounter probability and statistical problems. On the other hand when any event occurs with a fixed time interval and having a fixed average rate then it is Poisson distribution.