In this case, the Poisson distribution is the best one to use. The formula for Poisson distribution is given as:
P[x] = e^-m * m^x / x!
Where,
m = mean number of typographical errors = 6
x = sample value
A. The probability of exactly 4 errors are found on a page is:
P[4] = e^(-6) * 6^4/4!
P[4] = 0.1339
B. The probability that at most 4 errors will be the summation of x = 0 to 4:
P[0] = e^(-6) * 6^0/0! = 2.479 E -3
P[1] = e^(-6) * 6^1/1! = 0.01487
P[2] = e^(-6) * 6^2/2! = 0.04462
P[3] = e^(-6) * 6^3/3! = 0.08924
Therefore summing up all including the P[4] in A gives:
P[at most 4] = 0.2851
C. The probability that more than 4 would be the complement of answer in B.
P[more than 4] = 1 - P[at most 4]
P[more than 4] = 1 - 0.2851
P[more than 4] = 0.7149