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This site provides a lesson that the user can work through. There are pages for derivation, graphs, examples and links to other sites.
The video continues with the example from the video, Binomial Distribution 3: Using Excel to Visualize the Basketball Binomial Distribution: Video, of shooting a basketball 10 times.
The video uses an example of shooting a basketball 10 times and calculates the probabilities.
This video uses the probabilities for flipping a coin five times that were derived in the first video to create a histogram, note how it resembles a bell-shape, and discusses binomial coefficients
The classic St. Petersburg Paradox where the player receives $\(2^n\) if the coin lands heads on the \(n\)th toss. Mathematical explanation of the expected value is given.
Explanation of the paradox without extensive math. Probabilities are not listed and expected value is not calculated.
An explanation of the game is given.
This page outlines an activity in which students must create and interpret two-way tables and must create conditional distributions.
This applet allows users to create conditional probability trees that immediately display all conditional probabilities and allows users to simulate probabilities using a ball-dropping visual.
This video lecture introduces joint, marginal, and conditional distributions. The example is for a discrete distribution, but captions describe how continuous distributions would work.