Answer:
Explanation:
Let X be the random variable representing the number of missing pulses or errors. The number of errors on a test area has Poisson with parameter = 0.2
a) Expected no of errors per test area =

(Since in a Poisson distribution mean = parameter value)
b)percentage of test areas have two or fewer errors
100*P(X≤2)


Hence percentage = 99.885%