Answer:
The probability that fewer than 60 false alarms are received is 0.0643.
Explanation:
Let X denote the number of false alarms received at a certain fire station in a year.
The mean rate of false alarms in a day is 0.20.
Then the mean rate of false alarms in a year will be:
.
Then the random variable X follows a Poisson distribution with parameter λ = 73.
The Poisson distribution with parameter λ, can be approximated by the Normal distribution, when λ is large.
If X follows Poisson (λ) and λ is large then the distribution of X can be approximated but he Normal distribution.
The mean of the approximated distribution of X is:
μ = λ
The standard deviation of the approximated distribution of X is:
σ = √λ
Thus, if λ is large, then X follows N (μ = λ, σ² = λ).
Compute the mean and standard deviation of X as follows:

Compute the probability that fewer than 60 false alarms are received as follows:


Thus, the probability that fewer than 60 false alarms are received is 0.0643.