The number of hits to a Web site follows a Poisson process. Hits occur at the rate of 0.8 per minute between 7:00 P.M. and 11:00 P.M. Given below are three scenarios for the number of hits to the Web site. Compute the probability of each scenario between 8 : 39 P.M. and 8:48 P.M. and interpret the results.
(a) exactly seven hits
(b) fewer than seven hits
(c) at least seven hits
Hits occur = 0.8 per minute
Time between 8: 39 PM and 8 48 PM, there are 10 m inutes.
Expected number of hits in 10 minutes = 10 * 0.8 = 8
(a) So here if x is the number of hits in 10 minutes between 8: 39 PM and 8: 48 PM
then x ~ POISSON (8)
p(x) = e-8 8x/x!
so here we have to find
P(Exactly seven hits) = e-8 87/7! = 0.1396
that means the probability to get exactly 7 calls in between 8: 39 PM and 8: 48 PM is 0.1396.
(b) P(x < 7) =
it will be calculated by using poisson distribution formula from EXCEL
P(x < 7) = POISSON (6; 8 ; TRUE) = 0.3134
that means the probability to have less than 7 calls in between 8: 39 PM and 8: 48 PM is 0.3134
(c) P(x 7) =1 - P(x < 7) = 1 - 0.3134 = 0.6866
that means the probability to have more than 7 calls in between 8: 39 PM and 8: 48 PM is 0.6866.
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