Answer:
(a) 0.29412.
(b) No, the selection of company A and the occurrence of cost overruns are not independent.
Step-by-step explanation:
We know that a certain federal agency uses three consulting firms: A, B, and C, with probabilities of 0.4, 0.35, and 0.25, respectively. Thus:
P(A) = 0.4, P(B) = 0.35, P(C) = 0.25.
From previous data, the probability of cost overruns for each firm is known as 0.05 (A), 0.03 (B), and 0.15 (C), meaning:
Let CO = Event of cost overruns.
P(CO/A) = 0.05, which represents the probability of overruns when firm A is involved.
Likewise, P(CO/B) = 0.03 and P(CO/C) = 0.15.
(a) The probability that A is the consulting firm leading to a cost overrun is P(A/CO):
We will apply Bayes' theorem to find this probability:
P(A/CO) =
.
Thus:
=
= 0.29412.
(b) No, choosing company A and experiencing cost overruns aren't independent, as overruns are associated with the consulting firm’s involvement, and the nature of overruns changes with different firms.