A normal variables

Match each random variable to its expected value and variance. X is a Bernoulli (0.1) random variable. a. E[X] = 1 and var[X] = 0.9 X is a geometric (0.1) random variable b. E[X] = 5 and var[X] = 3 X is a binomial (10, 0.1) random variable c. E[X] = 50 and var[X] = 450 . X is a Pascal (5, 0.1) random variable d. E[X] = 0.1 and var[X] = 0.09 X is a discrete uniform (3, 9) random variable e, E[X] = 20 and var[ X] = 40 . X is a Poisson (0.5) random variable f. E[X] = 4 and var[X] = 16 . X is a uniform (2, 8) random variable E[X] = 6 and var[X] = 4 X is an exponential (0.25) random variable h. E[X] = 10 and var[X] = 90 . X is an Erlang (10. 0.5) random variable 1. E[X] = 0.5 and var[X] = 0.5 . X is a Gaussian (2. 3) random variable JE[X] = 2 and var[X] = 9Let X a normal random variable with mean u and variance o . Consider Z = X - H Then Z is a O Bernoulli random variable O exponential random variable O Binomial random variable O normal random variable O uniform continuous random variable O standard normal random variable O geometric random variable