Answer: 0.0115
Step-by-step explanation:
The binomial probability formula :-
[tex]P(X)=^nC_x\ p^x(1-p)^{n-x}[/tex], here n is the number total of trials , p is the probability of getting success in each trial and P(x) is the probability of getting success in x trial.
Given : A package delivery service claims that no more than 5 percent of all packages arrive at the address late.
We assume that the conditions for the binomial hold with parameters :-
n=10 ; p=0.05
Let x be the random variable that represents the number of packages arrive at the address late.
Now, the probability that more than 2 packages will be delivered late :-
[tex]P(x>2)=1-P(x\leq2)\\\\=1-(P(0)+P(1)+P(2))\\\\=1-(^{10}C_0(0.05)^{0}(1-0.05)^{10}+^{10}C_{1}(0.05)^1(1-0.05)^9+^{10}C_{2}(0.05)^2(1-0.05)^8)\\\\=1-((0.95)^{10}+(10)(0.05)(0.95)^9+45(0.05)^2(0.95)^8}\\\\=1-0.988496442621=0.011503557379\approx0.0115[/tex]
Hence, the probability that more than 2 packages will be delivered late = 0.9885