Khan Academy

Binompdf and binomcdf functions (K-A)

Combining random variables-link (K-A)

Free throw binomial probability distribution (K-A)

Deriving the variance of the difference of random variables (K-A)

Generalizing k scores in n attempts (K-A)

Example: Analyzing distribution of sum of two normally distributed random variables (K-A)

Graphing basketball binomial distribution (K-A)

Probabilities from density curves (K-A)

Example: Analyzing the difference in distributions (K-A)

Recognizing binomial variables (K-A)

Intuition for why independence matters for variance of sum (K-A)

Mean of sum and difference of random variables (K-A)

Variance of sum and difference of random variables (K-A)

Constructing a probability distribution for random variable (K-A)

Mean (expected value) of a discrete random variable (K-A)

Mean and standard deviation of a discrete random variable (K-A)

Probability with discrete random variable example (K-A)

Cumulative geometric probability (greater than a value) (K-A)

Valid discrete probability distribution examples (K-A)

Cumulative geometric probability (less than a value) (K-A)

Variance and standard deviation of a discrete random variable (K-A)

Geometric random variables introduction (K-A)

Probability for a geometric random variable (K-A)

Example: Transforming a discrete random variable (K-A)

Proof of expected value of geometric random variable (K-A)