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Matthew Leingang

Social Bookmarking in Plain English - Common Craft - Our Product is Explanation - 0 views

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    The application used here is del.icio.us and not diigo but the way it's used is exactly the same. So it should help if you're unclear on this concept still.
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    Quick video overview of social bookmarking with del.icio.us.
Matthew Leingang

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.
bouchra alami

using the poisson distribution to approximate the binomial distribution - 0 views

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    using the poisson distribution to approximate the binomial distribution
Matthew Leingang

Vehicle registration plates of Indiana - Wikipedia, the free encyclopedia - 0 views

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    Unless you're really interested in all the pictures of license plates, scroll down to "County coding" to see the mathematically relevant part. Ask yourself: how many license plates can be generating in the scheme used from 1963 to 2008? How many can be generated in the new scheme?
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    A gallery of Indiana license plates and description of the various coding schemes used.
victoria elizabeth shea

Interactivate: Experimental Probability - 0 views

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    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..
Matthew Leingang

North American Numbering Plan - Wikipedia, the free encyclopedia - 0 views

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    Describing the way phone numbers is North America are coded
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    Area codes used to be much more restrictive. How many area codes were possible before 1995? After 1995?
Marc Tourangeau

How Computers Use Probability to play Chess - 0 views

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    This is really cool. A brief exposure to how computers are able to play chess.
Matthew Leingang

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.
  • ...2 more comments...
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    I wonder if we as a class could take on this one... 3. An unfair coin (probability p of showing heads) is tossed n times. What is the probability that the number of heads will be even?
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    That's a great idea. First, try it for specific values of n. If n=1, then the number of heads is even if it's 0, so P(even) = 1-p. If n=2, you could have 0 or 2 heads, so P(even) = (1-p)^2 +p^2 = 1-2p. Obviously there's going to be some kind of binomial identity, but what?
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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!
Matthew Leingang

Stirling's approximation - Wikipedia, the free encyclopedia - 0 views

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    Far More Than You Ever Wanted To Know about where this formula comes from.
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    Stirling's approximation is for n! in terms of continuous functions.
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    The derivation didn't require any complex analysis after all; thank goodness.
Matthew Leingang

Lifelong debunker takes on arbiter of neutral choices - 0 views

  • 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.)
    • Matthew Leingang
       
      I saw him talk about this. It was fascinating, especially when you consider that the problem is computationally very hard. The number of "shuffles" (permutations of a 52-card deck) exceeds the number of atoms in our galaxy, so it's impossible to build a computer with that much memory.
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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!
John Muccini

Behind Monty Hall's Doors: Puzzle, Debate and Answer? - The New York Times - 0 views

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    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.
Samantha Spilkin

ACS :: Lifetime Probability of Developing or Dying From Cancer - 0 views

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    Yikes! A 45% chance of some kind of cancer. Not good news for those of us over 30.
Matthew Leingang

Products - Life Tables - Homepage - 0 views

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    Data on the portion of individuals surviving to various ages broken down by sex, race, and other factors.
John Muccini

Wolfram|Alpha Examples - Probability - 0 views

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    wow, the results of the simulation are so clean and well presented. very neat.
Matthew Leingang

Standard Normal Table - 1 views

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    the data, pure and simple
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