To solve this, we use the binomial probability equation.
P = [n! / (n – r)! r!] p^r * q^(n – r)
where n is the total number of sample patients = 4, r is the number of uninsured patients = 1, p is probability of being uninsured = 0.20, q is 1 – p = 0.80
Calculating for probability P:
P = [4! / (4 -1)! 1!] 0.20^1 * 0.80^(4 – 1)
P = 0.4096
Answer:
True