In: Statistics and Probability
A banking executive studying the role of trust in creating customer advocates has determined that 44% of banking customers have complete trust, 47% of banking customers have moderate trust, and 9% have minimal orotrust in their primary financial institution. Ofthebanking customers that hae complete trust, 69% are very likely to recommend theirprimary financial institution of the bankingcustomersthathae moderate trust, 19% are very likely to recommend their primary financial institution; and of the banking customers that have minimal or no trust, 4% are very likely to recommend their primary financial institution. Complete parts (a) and (b) below.
A.) Compute the probability that if a customer indicates he or she is very likely to recommend his or her primary financial institution, the banking customer also has complete trust.
B.) Compute the probability that a banking customer is very likely to recommend his or her primary financial institution.
A)
Let C, MD, ML be the events that the customers have complete, moderate and minimal trust respectively.
Let R denotes the event that the banking customer recommend their primary financial institution.
Then P(C) = 0.44, P(MD) = 0.47 and P(ML) = 0.09
P(R | C) = 0.69, P(R | MD) = 0.19, P(R | ML) = 0.04
By law of total probability,
P(R) = P(R | C) P(C) + P(R | MD) * P(MD) + P(R | ML) * P(ML)
= 0.69 * 0.44 + 0.19 * 0.47 + 0.04 * 0.09 = 0.3965
Probability that if a customer indicates he or she is very likely to recommend his or her primary financial institution, the banking customer also has complete trust = P(C | R)
= P(R | C) P(C) / P(R) (By Bayes theorem)
= 0.69 * 0.44 / 0.3965
= 0.7657
B)
Probability that a banking customer is very likely to recommend his or her primary financial institution
= P(R)
= 0.3965 (From part A)