(Poisson distribution)question on Discrete Random Variables?

mean m per page = 0.25
P[x] = e^-m *m^x/x!
P[>1] = 1 - {P[0] - P[1]} = 1 - e^-0.25 (1+0.25) = 0.0265 = P[page needs retyping]
if 2 successive pages are bad, more than 2 attempts will be needed
P[2 ] = 0.0265^2 = 0.0007

QED

A discrete random variable is one which will address purely a countable form of distinctive values including 0,a million,2,3,4,........ Discrete random variables are many times (yet not inevitably) counts. If a random variable can take purely a finite form of distinctive values, then it must be discrete. Examples of discrete random variables incorporate the form of youngsters in a family, the Friday evening attendance at a cinema, the form of sufferers in a physician's surgical treatment, the form of defective mild bulbs in a container of ten. so definite, you does not say sixty two a million/2 beats according to minute... you're able to say sixty two bpm or sixty two bpm My source is Yale college Stat branch and that i pay attention they are pretty clever up there.