Height

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.

Back in a sec...

[smc]

Originally Posted by aw9725

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.

Back in a sec...

It doesn't need the complexity of Poisson distribution. The number of discrete events, after all, is only two: date / not date.

[smc]

Originally Posted by aw9725

I though we were talking about "numbers" who would/wouldn't. If it's "binary" then it's easy-- 100% would 0% wouldn't. I stand by my original work. Thought it was just for fun anyway...

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 (?).

No problem! I was making it "harder" than it had to be anyway just for fun. You should be getting my PM soon. Nice to meet you smc!

Now it's time for bed--we are under a "Winter Storm Warning." Maybe no class tomorrow!

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!