ntial card holders are good credit ris company uses discriminant analysis determine which ones should receiv rds credit cards to 70% of those who of those awarded credit cards, 95%

Essentials Of Business Analytics
1st Edition
ISBN:9781285187273
Author:Camm, Jeff.
Publisher:Camm, Jeff.
Chapter6: Data Mining
Section: Chapter Questions
Problem 16P
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From industry statistics, a credit card company knows that 0.8 of its
potential card holders are good credit risks and 0.2 are bad credit risks.
The company uses discriminant analysis to screen credit card applicants
and determine which ones should receive credit cards. The company
awards credit cards to 70% of those who apply. The company has found
that of those awarded credit cards, 95% turn out to be good credit risks.
What is the probability that an applicant who is a bad credit risk will be
denied a credit card?
Transcribed Image Text:From industry statistics, a credit card company knows that 0.8 of its potential card holders are good credit risks and 0.2 are bad credit risks. The company uses discriminant analysis to screen credit card applicants and determine which ones should receive credit cards. The company awards credit cards to 70% of those who apply. The company has found that of those awarded credit cards, 95% turn out to be good credit risks. What is the probability that an applicant who is a bad credit risk will be denied a credit card?
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