GENETICS for PROBABILITY - 0 views
Illustrating Bertrand's Paradox with GeoGebra | Matthew Leingang - 0 views
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I spiffed up and posted the GeoGebra worksheet if you're interested.
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Bertrand's Paradox is a question in continuous probability that shows the perils of uniformly distributed variables. The question is simple: given a random chord in a circle, what's the probability that it's longer than the side length of an equilateral triangle inscribed in that circle?
Standard Normal Table - 1 views
How to Play the Lottery like an Engineer - 0 views
Introduction to Sampling Distributions - 0 views
Some Really Hard Probability Problems - 0 views
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I pulled this up from the MIT Open CourseWare page under their Problem Solving class. I think they use problems of this caliber to prepare for the Putnam exam.
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OK, I now know two ways to solve this. The first way was along the lines you described in the break to me, Sam. It makes more sense than I originally thought, and with your Discrete Math knowhow you might be able to solve it. There's also a clever way, which I admit I didn't figure out until I solved it the other way.
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That's a great list of problems btw!
Lifelong debunker takes on arbiter of neutral choices - 0 views
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A decade later, in 2002, a large manufacturer of card-shuffling machines for casinos summoned Diaconis to determine whether their new automated shufflers truly randomized the deck. (They didn't.)
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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.
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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.
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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!
Bayesian spam filtering - Wikipedia, the free encyclopedia - 0 views
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How Bayes's Theorem can be used to decide if mail is spam or not.
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Very cool. Now that we see that mail filter software "adapts" to the user, we can address the problem in class of what would happen if a doctor who deals with prostate issues uses a filter and words such as viagra prop up when the email is not actually spam.
How Computers Use Probability to play Chess - 0 views
YouTube - The Probability Of These Situations Occurring is 0.0000001% - 0 views
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Some clips of events that are "probably" never gonna happen. Tells the probability of each event occurring.
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Something tells me this is more of a photoshop and film editing problem than a probability problem. :)
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very funny! and great marketing!
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