Can't help if I don't know what the question is
Step-by-step explanation:
since Poisson distribution parameter is not given so we have to estimate it from the sample data. The average number of of arrivals per minute at an ATM is

So probabaility for
is

So expected frequency for
is
(or
.
The curves cross at coordinates (x, y) = (1, 4). The x-value is said to represent the increase in temperature, while the y-value is said to represent the numbers of visitors and those and who leave early.
The "solution" is the temperature change at which the number of visitors is equal to the number who leave early.
I would say C sorry if it’s not right