In: Statistics and Probability
A mortgage specialist would like to analyze the average mortgage rates for Atlanta, Georgia. He collects data on the annual percentage rates (APR in %) for 30-year fixed loans as shown in the following table. If he is willing to assume that these rates are randomly drawn from a normally distributed population, can he conclude that the mean mortgage rate for the population exceeds 4.35%? Test the hypothesis at a 10% level of significance. (You may find it useful to reference the appropriate table: z table or t table) Financial Institution APR G Squared Financial 4.720 % Best Possible Mortgage 4.780 Hersch Financial Group 4.670 Total Mortgages Services 4.130 Wells Fargo 4.280 Quicken Loans 4.175 Amerisave 4.805 Source: MSN Money.com; data retrieved October 1, 2010. a. Select the null and the alternative hypotheses. H0: µ ≥ 4.35; HA: µ < 4.35 H0: µ ≤ 4.35; HA: µ > 4.35 H0: μ = 4.35; HA: μ ≠ 4.35 b. Calculate the value of the test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) c. Find the p-value. 0.05 p-value < 0.10 0.025 p-value < 0.05 0.01 p-value < 0.025 p-value 0.10 p-value < 0.01 d. What is the conclusion? Do not reject H0 since the p-value is smaller than significance level. Do not reject H0 since the p-value is greater than significance level. Reject H0 since the p-value is smaller than significance level. Reject H0 since the p-value is greater than significance level. e. Make an inference at α = 0.100. The mean mortgage rate equals 4.35%. The mean mortgage rate does not equal 4.35%. The mean mortgage rate is less than 4.35%. The mean mortgage rate exceeds 4.35%.
Solution:
Claim: the mean mortgage rate for the population exceeds 4.35%
Part a) Select the null and the alternative hypotheses.
H0: µ ≤ 4.35; HA: µ > 4.35
Part b) Calculate the value of the test statistic.
Since sample size n = 7 is small and population standard deviation is unknown , we use one sample t test for mean.
where
Thus we need to make following table:
x | x^2 | |
Financial Institution APR G Squared Financial | 4.720 | 22.278400 |
Best Possible Mortgage | 4.780 | 22.848400 |
Hersch Financial Group | 4.670 | 21.808900 |
Total Mortgages Services | 4.130 | 17.056900 |
Wells Fargo | 4.280 | 18.318400 |
Quicken Loans | 4.175 | 17.430625 |
Amerisave | 4.805 | 23.088025 |
Thus we get:
Thus we get:
Part c) Find the p-value.
df = n- 1 = 7 - 1 = 6
Look in t table for df = 6 row and find interval in which t = 1.40 fall
then find corresponding one tail area.
t = 1.40 fall between 1.134 and 1.440
corresponding one tail area is between 0.10 and 0.15
Thus p-value range is:
0.10 < p-value < 0.15
Thus correct option is: p-value > 0.10
Part d) What is the conclusion?
Since p-value > 0.10 level of significance, we fail to reject H0.
Thus correct option is:
Do not reject H0 since the p-value is greater than significance
level.
Part e) Make an inference at α = 0.100.
The mean mortgage rate equals 4.35%.