Question

In: Statistics and Probability

Insurance status—covered (C) or not covered (N)—is determined for each individual arriving for treatment at a...

Insurance status—covered (C) or not covered (N)—is determined for each individual arriving for treatment at a hospital's emergency room. Consider the chance experiment in which this determination is made for two randomly selected patients.

The simple events are O1 = (C, C), O2 = (C, N), O3 = (N, C), and O4 = (N, N). Suppose that probabilities are P(O1) = 0.81, P(O2) = 0.09, P(O3) = 0.09, and P(O4) = 0.01.

(a) What outcomes are contained in A, the event that at most one patient is covered? A = {(C, C), (C, N), (N, N)} A = {(C, C), (N, C), (N, N)} A = {(C, N), (N, C)} A = {(C, N), (N, C), (N, N)} A = {(C, C), (C, N), (N, C)}

What is P(A)? P(A) =

(b) What outcomes are contained in B, the event that the two patients have different statuses with respect to coverage? B = {(C, C), (C, N)} B = {(C, C), (N, N)} B = {(C, N), (N, C)} B = {(C, N), (N, N)} the empty set

What is P(B)? P(B) =

Solutions

Expert Solution

a) The event that at most one patient is covered is,

A = {(C, N), (N, C), (N, N)}

P(A) = P(O2) + P(O3) + P(O4)

= 0.09 + 0.09 + 0.01 = 0.19

b) The event that the two patients have different statuses with respect to coverage is

B = {(C, N), (N, C)}

P(B) = P(O2) + P(O3)

= 0.09 + 0.09 = 0.18


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