Question #116263
It is known that in a glass items production in the average one in every 1000 items contain bubbles. Assuming Poisson’s distribution, find the probability that in 6000 items: (a) Exactly 5 items contain bubbles. (b) Less than 4 items contain bubbles
1
Expert's answer
2020-05-18T19:11:05-0400

Poisson distribution with mean 6.

(a) P(=5)P(=5)

p(=5)=e6655!=0.160623141p(=5) = \frac{e^{-6}6^5}{5!}=0.160623141

(b) P(3)P(\le3)

p(3)=03e66xx!p(\le3) = \sum_0^3\frac{e^{-6}6^x}{x!}

=e60!+e6611!+e6622!+e6643!=\frac{e^{-6}}{0!}+\frac{e^{-6}6^1}{1!}+\frac{e^{-6}6^2}{2!}+\frac{e^{-6}6^4}{3!}

=0.002478752+0.014872513+0.044617539+0.089235078=0.002478752+0.014872513+0.044617539+0.089235078

=0.151203883=0.151203883


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