NYU Probability Summer 2009

Although I did not enter the debate, I remember the Marilyn vos Savant vs. the mathematicians episode. I was in high school at the time. Marilyn's solution is sound, and her tactics are indeed wise: to people who disagreed with her explanation, she suggested they simply experiment and see what they find. So both the Bayesian and frequency models of probability are brought into play here. Persi Diaconis, the carnival card shark turned Harvard mathematics professor who I mentioned in class, is also quoted in this article. The Marilyn vs. the Mathematicians rematch did not turn out so well for her. When Wiles and Taylor finally proved Fermat's Last Theorem, she pronounced it phony because she didn't understand it. The mathematical consensus remains that the proof is good.

Experiment with experimental probability using a fixed size section spinner, a variable section spinner, 2 regular 6-sided number cubes or design your own number cubes. Appropriate for elementary grades..

Michael A. M. Lerner talks with the man who is putting the "science" back in political science.

A biography about magician-turned-mathematician (probabilist) Persi Diaconis as well as a look at his experiments to understand the bias of a coin flip.

Great article. Everything I've been saying about Diaconis I learned through oral tradition. It's good to know I was pretty much right on.

Funny, after reading the article I concluded that you must've either read this article or a similar biographical sketch. Diaconis must be some legend! One of my favorite parts was that he was a bit 'rough' at one point. Gives the rest of us some hope!

An interactive walk-through of the Monty Hall Game and explanation. Try it out!

young einstein vs. old einstein why he changed his mind!

Some interesting problems from one of my favorite mathematicians.

In case you wanted to know a more precise way to deal with all of the factorials we've been playing around with.

If you like Erdos, you should take Algebra with Joel Spencer. He collaborated with Erdos for 40 or more publications I think.

Far More Than You Ever Wanted To Know about where this formula comes from.

Stirling's approximation is for n! in terms of continuous functions.

The derivation didn't require any complex analysis after all; thank goodness.

using the poisson distribution to approximate the binomial distribution

Baye's Theorem and Appplication

Let's remember: the guy's name was Bayes. That means it's either Bayes's Theorem or Bayes' Theorem, but not Baye's Theorem. :))) Good article though!

Types of probability Conditional probability Expected values

Understanding Odds: Bayes Theorem

Understanding Odds: Bayes Theorem

Applications of conditional probability

Applications of conditional probability

Interesting but a little morbid.

Interesting but a little morbid.

That's creepy.

Walk-through videos about some basic topics of probability. Scroll down on the right side to 'Probability ' to view the videos of that category

Some clips of events that are "probably" never gonna happen. Tells the probability of each event occurring.

Something tells me this is more of a photoshop and film editing problem than a probability problem. :)

very funny! and great marketing!