Discrete Random Variable
Binomial Distribution
Number of successes in a fixed number of independent trials
2 outcomes - success or failure
Binomial Expectation
E[x] = np
Binomial Variance
Var(x) = np(1-p)
Bernoulli Distribution
Discrete Probability Distribution that models a single event - success or failure
Bernoulli Expectation
E[x] = p
Bernoulli Variance
Var(x) = np
Binomial PMF
(n choose p) p^j (1-p)^(n-j)
Bernoulli PMF
f(0) = 1-p
f(1) = p
Uniform Distribution
each event is equally likely to occur
Uniform Expectation
E[x] = (n + 1) / 2
Uniform Variance
Var(x) = (n^2 -1) / 12
Uniform PMF
f(i) = 1 / n
Geometric Distribution
Number of independent Bernoulli trials needed to achieve first success.
Geometric Expectation
E[x] = (1-p) / p
Geometric Variance
Var(x) = (1-p) / p^2