Assume that the monthly worldwide average number of airplane crashes of commercial airlines is 2.2. What is the probability that there will be
(a) more than 3 such accidents in the next month? 0.1807
(b) less than 2 such accidents in the next 3 months?
(c) exactly 6 such accidents in the next 4 months?
a)
Here, λ = 2.2 and x = 3
As per Poisson's distribution formula P(X = x) = λ^x *
e^(-λ)/x!
We need to calculate P(X > 3) = 1 - P(X <= 3).
P(X > 3) = 1 - (2.2^0 * e^-2.2/0!) + (2.2^1 * e^-2.2/1!) +
(2.2^2 * e^-2.2/2!) + (2.2^3 * e^-2.2/3!)
P(X > 3) = 1 - (0.1108 + 0.2438 + 0.2681 + 0.1966)
P(X > 3) = 1 - 0.8193 = 0.1807
b)
Here, λ = 6.6 and x = 2
As per Poisson's distribution formula P(X = x) = λ^x *
e^(-λ)/x!
We need to calculate P(X < 2).
P(X < 2) = (6.6^0 * e^-6.6/0!) + (6.6^1 * e^-6.6/1!)
P(X < 2) = 0.0014 + 0.009
P(X <2) = 0.0104
c)
Here, λ = 8.8 and x = 6
As per Poisson's distribution formula P(X = x) = λ^x *
e^(-λ)/x!
We need to calculate P(X = 6)
P(X = 6) = 8.8^6 * e^-8.8/6!
P(X = 6) = 0.0972
Ans: 0.0972
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