Answer:
The probability that at least two of the customers exceed their limit is 0.2642.
Step-by-step explanation:
We are given that Past records indicate that the probability of customers exceeding their credit limit is 0.05.
On a given day, 20 customers place orders.
Let X = the number of customers who exceed their credit limit
The above situation can be represented through binomial distribution;
[tex]P(X = r) = \binom{n}{r}\times p^{r} \times (1-p)^{n-r}; x = 0,1,2,......[/tex]
where, n = number of trials (samples) taken = 20 customers
r = number of success = at least two
p = probability of success which in our question is the probability
of customers exceeding their credit limit, i.e; 0.05.
So, X ~ Binom(n = 20, p = 0.05)
Now, the probability that at least two of the customers exceed their limit is given by = P(X [tex]\geq[/tex] 2)
P(X [tex]\geq[/tex] 2) = 1 - P(X < 2) = 1 - P(X = 0) - P(X = 1)
= [tex]1- \binom{20}{0}\times 0.05^{0} \times (1-0.05)^{20-0}- \binom{20}{1}\times 0.05^{1} \times (1-0.05)^{20-1}[/tex]
= [tex]1- (1 \times 1 \times 0.95^{20})- (20 \times 0.05^{1} \times 0.95^{19})[/tex]
= 0.2642