Given a binomial random variable, X = # successes, where the sample size (n) and the probability of a success (p) are given on right, calculate P(X < a) where "a" is given on the right.
n =20
p =0.3
a =2
Given a binomial random variable, X = # successes, where the sample size (n) and the probability of a success (p) are given on right, calculate P(X > a) where "a" is given on the right.
n =20
p =0.2
a =7
Given a binomial random variable, X = # successes, where the sample size (n) and probability of a success (p) are given on right, calculate P(a < X < b) where "a" and "b" are given on the right.
n =20
p =0.2
a =5
b =7
Given a binomial random variable, X = # successes, where the sample size (n) and probability of a success (p) are given on right, calculate E(X)
n =10
p =0.9
Given a poisson random variable, X = # of events that occur, where the average number of events in the sample unit (μ) is given on the right, calculate P(a < X < b) where "a" and "b" are given on right.
μ =5
a =2
b =3
Given a poisson random variable, X = # of events that occur, where the average number of events in the sample unit (μ) is given on the right, calculate P(X = a) where "a" is given on right.
μ =5
a =2
Given a poisson random variable, X = # of events that occur, where the average number of events in the sample unit (μ) is given on the right, determine the smallest critical value (critical value = c) for the random variable such that you have at least a 99% probability of finding c or fewer events.
μ =7.5