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A major flooding in a given year has a Poisson distribution with a mean occurrence of...

A major flooding in a given year has a Poisson distribution with a mean occurrence of 2.5

d) How many months have to pass to be in the 80th percentile?

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Answer #1

We have to use the Poisson distribution table to find the answer.

Let x be the number of months has major flooding incidents .

We are given \lambda = 2.5 and asked to find x such that sum of probabilities up to that x is 0.8

So first we need probabilities for each x with \lambda = 2.5

2.6 2.1 2.2 2.3 2.4 2.5 2.7 2,8 2.9 3.0 .1003 0821 .1225 .1108 .0907 0743 0672 .0608 .0550 .0498 2572 2438 2306 2177 2052 .19

So first we need to find cumulative probabilities for each x ..So we goes on adding the each probability to its previous probability

The cumulative for x = 0 would be P(X) = 0.0821

The cumulative for x = 1 would be 0.0821 + 0.2052 = 0.2873

The cumulative for x = 2 would be 0.2873 + 0.2565 = 0.5438

Similarly we have to find cumulative for all x

P(X) Cumulative X 0 0.0821 0.0821 1 0.2052 0.2873 2. 0.2565 0.5438 3 0.2138 0.7576 4 0.1336 0.8912 0.0668 0.958 6 0.0278 0.98

Since the cumulative for x = 4 is 0.8912 , so it exceeds 0.8 at x = 4 first time

The required number of months would be 3

Because the percentile or sum of probabilities up to x = 3 is approximately equal to 0.80

Therefore approximately 3 months have to pass to be in the 80th percentile

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