(New page: Some helpful information. <math>P[Y > K] = ? </math> <math>P[Y = K] = P[Y > K - 1] - P[Y > K]</math> <math>P[Y > K] = P(ceil(x) > k) = P(x > K) = ....</math>) |
|||
| Line 6: | Line 6: | ||
<math>P[Y > K] = P(ceil(x) > k) = P(x > K) = ....</math> | <math>P[Y > K] = P(ceil(x) > k) = P(x > K) = ....</math> | ||
| + | |||
| + | Remember X is an exponential random variable with parameter <math>\lambda</math> | ||
Latest revision as of 16:32, 16 October 2008
Some helpful information.
$ P[Y > K] = ? $
$ P[Y = K] = P[Y > K - 1] - P[Y > K] $
$ P[Y > K] = P(ceil(x) > k) = P(x > K) = .... $
Remember X is an exponential random variable with parameter $ \lambda $
