Answer:
P(1≤X≤3) = 0.5974
Explanation:
In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

In which
x is the number of sucesses
e = 2.71828 is the Euler number
is the mean in the given interval.
Mean of 3
This means that

P(1≤X≤3) ?

So




So
