In: Statistics and Probability
According to an international aviation firm, fatal accidents occur in just around one in every five million flights. With about 100,000 flights per 24 hour day worldwide, this means fatal accidents happen at a rate of 1 per 50 days. This translates to an average of 0.6 accidents per month. Assume that the number of fatal air accidents worldwide follows a Poisson distribution with λ=0.6 per month.
1. Let X be the number of fatal air accidents in a month
X follow Poisson with =0.6
Probability mass function of a Poisson distribution is
Probability that no fatal accidents happen during the month of March 2020 is 0.5488
2.
Probability that 3 fatal accidents happen during the month of March 2020 is 0.0198
3. There are 3 months between March 1 to May 31
We know that Probability that no fatal accidents happen during one month is 0.5488
As accidents happen independent of one another , that is accidents in one months is independent of accidents in other months.
Probability that no fatal accidents happen between March 1 to May 31 = 0.54883 = 0.1653
Note : For independent events , probability of joint event= Product of individual probability of each event .
4.
Let Y be the number of fatal air accidents in a year
Y follow Poisson with =0.6*12 = 7.2
Probability that 13 fatal air accidents happen during a year is 0.0168
this probability is very low
Usually if the probability of an observation is less than 0.05 , the observation is considered an outlier .
Thus 2018 is an outlier with respect to fatal air accidents