Define population 1 as mortgages that are refinanced, and define population 2 as mortgages that are not refinanced. Let µ1 equal the mean FICO score of borrowers who refinance their mortgages, and let µ2 equal the mean FICO score of borrowers who don't refinance. Similarly, let o1 and ơ2 equal the standard deviations of borrower FICO scores for populations 1 and 2. Assume that o1 = 45 and o2 = 66. In a study, professor Michael LaCour-Little selected independent random samples of mortgages were refinanced and mortgages that were not refinanced, ang he collected data on borrower in Predicting Mortgağe 'Prěpayments," Journal'of Housing Research, Volume 10, Issue 1.) For the sample drawn from refinanced mortgages, the sample size n, = 124, and the sample mean š1 = 740. For the sample drawn from mortgages that were not refinanced, the sample size n2 = 124, and the sample mean x2 = 720. Histograms of the sample data suggest that the populations are not extremely nonnormal. sample sizes have been reducedpte: The sample means match those from the study, but the The point estimate of µ1 H2 is 20 ▼ In this study, the sampling distribution of š1 82 is approximated by a a mean of 20 normal distribution with and a standard deviation of 7.1735 Use the Distributions tool to help you answer the questions that follow.

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were no'Costs to rene dropped bęlow the rate on your mortgage., In actuality, however, there are
1. Comparing two population means
Consider a pool of home mortgages. Prepayments of mortgąges in the.pool affect the mortgages'
cash flow, so mortgage lenders, servicers, and investors aff have an. interest in predicting mortgage
prepayments. Mortgages may Be prepaid 'for a variety of purposes, including seiling the nomė,
taking cash out of the property to'fund home improvéments pr other consumer expenditures, 'or
refinančing the mortgage to change the monthly payment scheđūle.
Narrow your, focus to mortgage prepayments that are made for the purpose of refinancing. If there
you would refinance to reduce your monthly payments every time the
current mortgage rate
Costs to refinanting, such as points and closing fees., Therefore the spread Betwen the current
mortgage rate and your own rate.must be big enough to more than máke up för the costs, or you
wouldn't be intêrested in refinăncing.
The econqmics of refinancing suggest that comPareIC8 Scores. Borrowers with good credit
refinanced mprtgages have Borrowers with higher
histories (high credit scores) pay lower costs when they refinance.
mortgages that aren't refinanced.
Define population 1 as mortgages that are refinanced, and define population 2 as mortgages that
are not refinanced. Let uj equal the mean FICO score of borrowers who refinance their mortgages,
and let u2 equal the mean FICO score of borrowers who don't refinance. Similarly, let o1 and 02
equal the standard deviations of borrower FICO scores for populations 1 and 2. Assume that o1 =
45 and o2 = 66.
In a study, professor Michael LaCour-Little selected independent random samples of mortgages
were refinanced and mortgağes that were no refinancedL and he coiected dataon borrower
FICO Scores. (Source: Michael LaCour-Little, Another.Look at the Roje of Borrower Characteřistics
in Předičting Mortgage Prepayments," Journal'of Housing Research, Volumē 10, Issue 1.)
For the sample drawn from refinanced mortgages, the sample size n, =
124, and the sample mean
X1
740. For the sample drawn from mortgages that were not refinanced, the sample size n2
%D
124, and the sample mean x2 = 720. Histograms of the sample data suggest that the populations
are not extremely nonnormal. (Note: The sample means match those from the study, but the
sample sízes have been reduced.)
The point estimate of u1
- u2 is 20
In this study, the sampling distribution of x1
X2 is approximated by a
a mean of 20
normal
and a
distribution with
of 7.1735
standard deviation
Use the Distributions tool to help you answer the questions that follow.
Transcribed Image Text:were no'Costs to rene dropped bęlow the rate on your mortgage., In actuality, however, there are 1. Comparing two population means Consider a pool of home mortgages. Prepayments of mortgąges in the.pool affect the mortgages' cash flow, so mortgage lenders, servicers, and investors aff have an. interest in predicting mortgage prepayments. Mortgages may Be prepaid 'for a variety of purposes, including seiling the nomė, taking cash out of the property to'fund home improvéments pr other consumer expenditures, 'or refinančing the mortgage to change the monthly payment scheđūle. Narrow your, focus to mortgage prepayments that are made for the purpose of refinancing. If there you would refinance to reduce your monthly payments every time the current mortgage rate Costs to refinanting, such as points and closing fees., Therefore the spread Betwen the current mortgage rate and your own rate.must be big enough to more than máke up för the costs, or you wouldn't be intêrested in refinăncing. The econqmics of refinancing suggest that comPareIC8 Scores. Borrowers with good credit refinanced mprtgages have Borrowers with higher histories (high credit scores) pay lower costs when they refinance. mortgages that aren't refinanced. Define population 1 as mortgages that are refinanced, and define population 2 as mortgages that are not refinanced. Let uj equal the mean FICO score of borrowers who refinance their mortgages, and let u2 equal the mean FICO score of borrowers who don't refinance. Similarly, let o1 and 02 equal the standard deviations of borrower FICO scores for populations 1 and 2. Assume that o1 = 45 and o2 = 66. In a study, professor Michael LaCour-Little selected independent random samples of mortgages were refinanced and mortgağes that were no refinancedL and he coiected dataon borrower FICO Scores. (Source: Michael LaCour-Little, Another.Look at the Roje of Borrower Characteřistics in Předičting Mortgage Prepayments," Journal'of Housing Research, Volumē 10, Issue 1.) For the sample drawn from refinanced mortgages, the sample size n, = 124, and the sample mean X1 740. For the sample drawn from mortgages that were not refinanced, the sample size n2 %D 124, and the sample mean x2 = 720. Histograms of the sample data suggest that the populations are not extremely nonnormal. (Note: The sample means match those from the study, but the sample sízes have been reduced.) The point estimate of u1 - u2 is 20 In this study, the sampling distribution of x1 X2 is approximated by a a mean of 20 normal and a distribution with of 7.1735 standard deviation Use the Distributions tool to help you answer the questions that follow.
Use the Distributions tool to help you answer the questions that follow.
Standard Normal
Distribution
Mean = 0.0
Standard Deviation =
1.0
O O O
-3
-2
-1
2
3
The 99% confidence interval estimate of the difference between u1 and µ2 is LCL =
1.521
to UCL =
38.479
You want todetermine whether the mean FICO score of the borrower is higher for refinanced
mortgages than for mortgages that are not refinanced, as the economics of refinancing suggests.
You test the hypothesis thất there is no difference between the mean FICO'scores.
The null and alternative hypotheses are formulated as:
O Ho: X1
X2
: 0, Hi: X] — х2 > 0
O Họ: µ1 - µ2 2 0, H1: µ1 - µ2 + 0
O Ho: H1
- 42 2 0, H1: µ1 - µ2 < 0
O Ho: µ1 - µ2 =
:0, H1: µ1 - µ2 > 0
The test statistic for the hypothesis test is
z = 2.79
The p-value is 0.0026
A level of significance of a = 0.01 is specified for the study. The null hypothesis is
rejected
the mean FICO score of the bórrower is higher for refinanced mortgages than for mortgages that
Therefore, you cannot
conclude that there is enough evidence to infer that
åre not refiñanced.
Transcribed Image Text:Use the Distributions tool to help you answer the questions that follow. Standard Normal Distribution Mean = 0.0 Standard Deviation = 1.0 O O O -3 -2 -1 2 3 The 99% confidence interval estimate of the difference between u1 and µ2 is LCL = 1.521 to UCL = 38.479 You want todetermine whether the mean FICO score of the borrower is higher for refinanced mortgages than for mortgages that are not refinanced, as the economics of refinancing suggests. You test the hypothesis thất there is no difference between the mean FICO'scores. The null and alternative hypotheses are formulated as: O Ho: X1 X2 : 0, Hi: X] — х2 > 0 O Họ: µ1 - µ2 2 0, H1: µ1 - µ2 + 0 O Ho: H1 - 42 2 0, H1: µ1 - µ2 < 0 O Ho: µ1 - µ2 = :0, H1: µ1 - µ2 > 0 The test statistic for the hypothesis test is z = 2.79 The p-value is 0.0026 A level of significance of a = 0.01 is specified for the study. The null hypothesis is rejected the mean FICO score of the bórrower is higher for refinanced mortgages than for mortgages that Therefore, you cannot conclude that there is enough evidence to infer that åre not refiñanced.
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