A student has committed the errors which follows the Poisson distribution
with an average rate of 1.5 errors per class.
i) What is the probability that she makes at least 3 errors during one class?
ii) What is the probability that she has committed two ‘error-free’ classes in
the two weeks?
Let "X" be a random variable representing the errors committed by the student. "X" therefore follows a Poisson distribution with rate "\\lambda=1.5" per class.
"i)"
The probability that she makes at least 3 errors during one class is given as,
"p(X\\ge 3)=1-p(X\\lt3)=1-\\{p(X=0)+p(X=1)+p(X=2)\\}"
"=1-\\{0.2231+0.335+0.2510\\}=1-0.8090=0.1912"
Therefore, the probability that she makes at least 3 errors during one class is 0.1912.
"ii)"
In two classes, the rate "\\lambda=1.5\\times2=3". Thus, the probability that she has committed two ‘error-free’ classes is given by,
"p(X=0)={e^3\\times3^0\\over0!}=e^3=0.0498"
Therefore, the probability that she has committed two ‘error-free’ classes is 0.0498.
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