Using the Poisson distribution, it is found that there is a 0.5414 = 54.14% probability that a randomly chosen school in Samarkand will close for 1 or 2 days next month.
We have the mean in an interval, hence, the Poisson distribution is used.
In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by:
[tex]P(X = x) = \frac{e^{-\mu}\mu^{x}}{(x)!}[/tex]
The parameters are:
Average of 24 days each year, considering that a year has 12 months, the monthly mean is of [tex]\mu = \frac{24}{12} = 2[/tex]
Then:
[tex]P(1 \leq X \leq 2) = P(X = 1) + P(X = 2)[/tex]
In which
[tex]P(X = x) = \frac{e^{-\mu}\mu^{x}}{(x)!}[/tex]
[tex]P(X = 1) = \frac{e^{-2}2^{1}}{(1)!} = 0.2707[/tex]
[tex]P(X = 2) = \frac{e^{-2}2^{2}}{(2)!} = 0.2707[/tex]
[tex]P(1 \leq X \leq 2) = P(X = 1) + P(X = 2) = 0.2707 + 0.2707 = 0.5414[/tex]
0.5414 = 54.14% probability that a randomly chosen school in Samarkand will close for 1 or 2 days next month.
To learn more about the Poisson distribution, you can take a look at https://brainly.com/question/13971530