Loans Before lending someone money, banks must decide whether they believe the applicant will repay the loan. One strategy used is a point system. Loan officers assess information about the applicant, totaling points they award for the persons income level, credit history, current debt burden, and so on. The higher the point total, the more convinced the bank is that its 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 persons score falls below the minimum cutoff will the bank reject the null and deny the loan. This system is reasonably reliable, but, of course, sometimes there are mistakes. a) When a person defaults on a loan, which type of error 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?
Introduction: Conducting a Research Observational study: without attempting to influence the value of response or explanatory variables. Observes behavior. Designed Experiment Study: assigns to a certain group of individuals intentionally changes value of explanatory variable and records the value of the response variable of each group. Population: entire group of individuals to be studies Sample: a subset of the population that is being studied (cost, time, and accuracy are factors to consider) Parameter: numerical summary of a population Statistic: numerical summary of a sample Simple Random Sampling: using chance to select individuals from a population; everyone has equal chance of getting sampled Systematic Sampling: selecting every kth individual from a po