In: Statistics and Probability
There are three loan officers at farmers National Bank. All decisions on mortgage loans are made by one of these officers. The president of the bank would like to be sure that the rejection rate is about the same for the three officers. A sample of 200 recent applications yielded the following results. Is the rejection rate related to the officer that processes the loan? Use the 0.05 significance level.
Loan Officer | |||
---|---|---|---|
Felix | Otis | Foxburrow | |
Approved | 50 | 70 | 55 |
Rejected | 10 | 10 | 5 |
Total | 60 | 80 | 60 |
a. State the null and alternate hypothesis.
H0:____________________
H1:____________________
b. State the decision rule.
c. Compute the value of the test statistic.
d. What is you decision regarding the null hypothesis? Interpret the result.
a)
HO: rejection rate is not related to the officer that processes the loan
H1: rejection rate is related to the officer that processes the loan
b)
for 2 df and 0.05 level of signifcance critical region χ2= | 5.991 |
decision rule. :reject Ho if test statistic X2 >5.991
c)
applying chi square test:
Expected | Ei=row total*column total/grand total | Felix | Otis | Foxburrow | Total |
Approved | 52.500 | 70.000 | 52.500 | 175 | |
Rejected | 7.500 | 10.000 | 7.500 | 25 | |
total | 60 | 80 | 60 | 200 | |
chi square χ2 | =(Oi-Ei)2/Ei | Felix | Otis | Foxburrow | Total |
Approved | 0.1190 | 0.0000 | 0.1190 | 0.238 | |
Rejected | 0.8333 | 0.0000 | 0.8333 | 1.667 | |
total | 0.952 | 0.000 | 0.952 | 1.905 |
value of the test statistic X2 =1.905
d)as test statistic is not in rejection region ; we can not reject null hypothesis
we do not have evidence at 0.05 level to conclude that rejection rate is related to the officer that processes the loan