The number of insurance claims in a given period is a Poisson random variable. The policies at a certain car insurance company cover expenses up to a maximum of $100 000. In this company, they observe that each claim they receive is, in average, for a value of $10 000, with standard deviation of $1000. In a month, they receive in average 35 claims.
Is it likely that they will have to reimburse more than $385 000 in March 2019?
for normal distribution z score =(X-μ)/σ | |
here mean= μ= | 10000 |
std deviation =σ= | 1000.0000 |
sample size =n= | 35 |
std error=σx̅=σ/√n= | 169.0309 |
P( reimburse more than $385 000 ) =P(reimburse on average 385000/35 =110000 per person)
probability = | P(Xbar>11000) | = | P(Z>5.92)= | 1-P(Z<5.92)= | 1-1= | 0.0000 |
therefore it is not likely that t they will have to reimburse more than $385 000 as the probability of above event is almost negligible,
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