In: Statistics and Probability
Simple random samples of high-interest mortgages and low-interest mortgages were obtained. For the 35 high-interest mortgages, the borrowers had a mean FICO score of 701 and a standard deviation of 47. For the 29 low-interest mortgages, the borrowers had a mean FICO credit score of 745 and a standard deviation of 21. Test the claim that the mean FICO score of borrowers with high-interest mortgages is different than the mean FICO score of borrowers with low-interest mortgages at the 0.2 significance level.
The test statistic is: ["-4.9718", "-2.5647", "-3.9974", "-1.5463", "-2.9644", "-3.2456", "-4.1334", "-1.7893"]
The Critical Value is: +/- ["2.772", "1.313", "3.012", "2.403", "1.687", "2.032"]
Based on this we: ["Reject the null hypothesis", "Fail to reject the null hypothesis"]
Conclusion: There ["does", "does not"] appear to be enough evidence to support the claim that the mean FICO score of borrowers with high-interest mortgages is different than the mean FICO score of borrowers with low-interest mortgages.
**NOTE the values in-between " " are possible answer choices
Sample #1 ----> 1
mean of sample 1, x̅1= 701.00
standard deviation of sample 1, s1 =
47
size of sample 1, n1= 35
Sample #2 ----> 2
mean of sample 2, x̅2= 745.000
standard deviation of sample 2, s2 =
21.00
size of sample 2, n2= 29
difference in sample means = x̅1-x̅2 =
701.000 - 745.0000
= -44.0000
std error , SE = √(s1²/n1+s2²/n2) =
8.8499
t-statistic = ((x̅1-x̅2)-µd)/SE = (
-44.0000 / 8.8499 )
= -4.9718
DF = min(n1-1 , n2-1 )= 28
t-critical value , t* = ±1.313
Reject the null hypothesis
There ["does", ] appear to be enough evidence to support the claim that the mean FICO score of borrowers with high-interest mortgages is different than the mean FICO score of borrowers with low-interest mortgages.
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