Khan Academy

Binompdf and binomcdf functions (K-A)

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

Probability density functions (K-A)

Free throw binomial probability distribution (K-A)

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

Generalizing k scores in n attempts (K-A)

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

Graphing basketball binomial distribution (K-A)

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

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

Recognizing binomial variables (K-A)

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

Discrete and continuous random variables (K-A)

Visualizing a binomial distribution (K-A)

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

Expected value (basic) (K-A)

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

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

Geometric random variables introduction (K-A)

Probability models example: frozen yogurt (K-A)

Comparing insurance with expected value (K-A)

Probability for a geometric random variable (K-A)

Probability with discrete random variable example (K-A)

Expected profit from lottery ticket (K-A)

Random variables-video (K-A)