Khan Academy on a Stick
Random variables and probability distributions
Random variables. Expected value. Probability distributions (both discrete and continuous). Binomial distribution. Poisson processes.

Random variables
Basic idea and definitions of random variables

Discrete and continuous random variables
Defining discrete and continuous random variables. Working through examples of both discrete and continuous random variables.
 Constructing a probability distribution for random variable

Probability density functions
Probability density functions for continuous random variables.
Random variables and probability distributions

Term life insurance and death probability
Understanding an insurance company's sense of my chances of dying.
 Getting data from expected value
 Expected profit from lottery ticket
 Expected value while fishing
 Comparing insurance with expected value

Law of large numbers
Introduction to the law of large numbers
Expected value
Now that we know what a random variable is, we can think about expected value. As we'll see, it can be viewed as a probabilityweighted average of possible outcomes!

Binomial distribution 1
Introduction to the binomial distribution

Binomial distribution 2
More on the binomial distribution

Binomial distribution 3
Basketball binomial distribution

Binomial distribution 4
Using Excel to visualize the basketball binomial distribution

Expected value of binomial distribution
Expected value of a binomial distributed random variable
Binomial distribution

Poisson process 1
Introduction to Poisson Processes and the Poisson Distribution.

Poisson process 2
More of the derivation of the Poisson Distribution.