Answer:
0.0396
Explanation:
the probability of one page having an error is p= 2/100 = 1/50
if the letter q is the probability of not having an error then q = 49/50
Using binomial probability:
![b(x;n,p) = (n!)/(x!(n-x)!)p^xq^(n-x)](https://img.qammunity.org/2020/formulas/mathematics/high-school/da5cshpkmbyice8o5usbj3n70r2zf57iae.png)
n is the sample size--> n = 20
And we want the probability that a random sample of 20 pages will contain at least one error, this is the same as 1 minus the probability of none of the 20 pages containing an error:
probability(x ≥ 1) = 1 - probability( x = 0)
Using the binomial probability equation
Probability( x=0 ) =
![b(0;20,1/50) = (20!)/(0!(20-0)!)(1/50)^0(49/50)^(2-0)](https://img.qammunity.org/2020/formulas/mathematics/high-school/zl8bbjzolrmrdweuna22qskgpey5ayjoo4.png)
Probability( x=0 ) =
= 0.9604
Thus,
probability(x ≥ 1) = 1 - 0.9604= 0.0396