Loans Before lending someone money, banks must decidewhether they believe the applicant will repay the loan. One strategy used is a point system. Loan officers assess infor-mation about the applicant, totaling points they award for the person’s income level, credit history, current debt burden,and so on. The higher the point total, the more convinced thebank is that it’s safe to make the loan. Any applicant with alower point total than a certain cutoff score is denied a loan.We can think of this decision as a hypothesis test. Sincethe bank makes its profit from the interest collected onrepaid loans, their null hypothesis is that the applicant willrepay the loan and therefore should get the money. Only ifthe person’s score falls below the minimum cutoff will the bank reject the null and deny the loan. This system is reason-ably reliable, but, of course, sometimes there are mistakes. a) When a person defaults on a loan, which type of errordid the bank make?b) Which kind of error is it when the bank misses anopportunity to make a loan to someone who wouldhave repaid it?c) Suppose the bank decides to lower the cutoff score from250 points to 200. Is that analogous to choosing a higheror lower value of a for a hypothesis test? Explain.d) What impact does this change in the cutoff value haveon the chance of each type of error?
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
whether they believe the applicant will repay the loan. One
mation about the applicant, totaling points they award for the
and so on. The higher the point total, the more convinced the
bank is that it’s safe to make the loan. Any applicant with a
lower point total than a certain cutoff score is denied a loan.
We can think of this decision as a hypothesis test. Since
the bank makes its profit from the interest collected on
repaid loans, their null hypothesis is that the applicant will
repay the loan and therefore should get the money. Only if
the person’s score falls below the minimum cutoff will the
ably reliable, but, of course, sometimes there are mistakes.
did the bank make?
b) Which kind of error is it when the bank misses an
opportunity to make a loan to someone who would
have repaid it?
c) Suppose the bank decides to lower the cutoff score from
250 points to 200. Is that analogous to choosing a higher
or lower value of a for a hypothesis test? Explain.
d) What impact does this change in the cutoff value have
on the chance of each type of error?
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