What is #P(x)# for #n=3. x=1, p=0.9#? Statistics Binomial and Geometric Distributions Calculating Binomial Probabilities 1 Answer Ratnaker Mehta Dec 11, 2017 # p(1)=0.027#. Explanation: For a Binomial Random Variable #X# with parameters #n and p,# then, #P(X=x)=p(x)=""_nC_xp^nq^(n-x), x=0,1,2,...,n.# Here, #n=3, p=0.9, x=1.# Also, #q=1-p=1-0.9=0.1.# #:. p(1)=""_3C_1(0.9)^1(0.1)^(3-1),# #=3(0.9)(0.1)^2,# #=3(0.9)(0.01).# # rArr p(1)=0.027#. Answer link Related questions Why do we have to use "combinations of n things taken x at a time" when we calculate binomial... Question #3a8c6 What defines a binomial distribution? What is a binomial distribution? What is the difference between binomial distribution and Poisson distribution? What is the probability of getting 7 heads and 7 tails with 14 coin flips? What is the general formula for the variance and mean of a binomial distribution? What is the standard deviation of a binomial distribution with n=10 and p=0.70? What is the difference between a normal and binomial distribution? What is the variance of a binomial distribution for which n = 75 and p = 0.20? See all questions in Calculating Binomial Probabilities Impact of this question 3049 views around the world You can reuse this answer Creative Commons License