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#1
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Nobody on here would ever turn you down Fran!
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#2
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Could you do a probability chart on that? Make it a class project.
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#3
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#4
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I'm game. Are we talking Bayesian probability? Frequentist probability?
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#5
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I'm thinking a "poisson" distribution. Lambda would be the number of people who would turn her down (which in this case would be very small). It's late but I will work up something quick in Excel.
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#6
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It doesn't need the complexity of Poisson distribution. The number of discrete events, after all, is only two: date / not date.
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#7
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Your "original work" is worthy of being stood by. I was just messin' with you about the "dates" being "events" ... and you picked up on my point precisely: 100% would, 0% wouldn't. If the numbers came out any different, we'd be dealing with non-humans, I'm guessing, that had been mis-programmed (?).
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#8
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No problem!
![]() ![]() Now it's time for bed--we are under a "Winter Storm Warning." Maybe no class tomorrow! ![]() |
#9
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Assuming Lambda = .01. Using Excel's "Poisson" function yields:
0 0.9900498 1 0.0099005 2 0.0000495 3 0.0000002 4 0.0000000 5 0.0000000 So the probability of "no one" turning Fran down is greater than 99%. The probability of "one or more unfortunate souls" turning her down is less than one percent. If I had more time I could do something much better but gotta go in early tomorrow! Looking good Fran! ![]() Last edited by aw9725; 03-07-2013 at 11:41 PM. |
#10
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I'm sure the probability would be to your favorite cause they'd be an idoit to turn you down.
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#11
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