Khan Academy
Khan Academy: Journey Into Information Theory: Origin of Markov Chains
Introduction to Markov chains.
Khan Academy
Khan Academy: Bernoulli Distribution Mean and Variance Formulas
Video example of what a Bernoulli distribution is. Demonstrates how the general formulas for the mean and variance of the distribution are derived.
Khan Academy
Khan Academy: Bernoulli Distributions and Margin of Error: Margin of Error 1
Video example of calculating the mean, variance and standard deviation of a sample of a Bernoulli distribution. Finding the 95% confidence interval for the proportion of a population voting for a candidate.
Khan Academy
Khan Academy: Normal Distribution: Normal Distribution Excel Exercise
Video discusses the importance of the normal distribution. The formula for the normal distribution is given and explained. A url is given where an excel spreadsheet can be downloaded which is shown and used to compare the binomial...
Khan Academy
Khan Academy: Binomial Distribution 4
Visualize the basketball binomial distribution. Excel is used to calculate probabilities and graph the distribution.
Khan Academy
Khan Academy: Binomial Distribution: Binomial Distribution 3
Basketball binomial distribution. This video demonstrates the binomial distribution for an example about shooting six free throw shots by calculating the probabilities of each number of shots that were made.
Crash Course
Crash Course Statistics #15: Binomial Distribution
Today we're going to discuss the Binomial Distribution and a special case of this distribution known as a Bernoulli Distribution. The formulas that define these distributions provide us with shortcuts for calculating the probabilities of...
Khan Academy
Khan Academy: Origin of Markov Chains
This video serves as an introduction to Markov Chains. [7:15]