A loan officer compares the interest rates for 48-month fixed-rate auto loans and 48-month variable-rate auto loans. Two independent, random samples of auto loan rates are selected. A sample of eight 48-month fixed-rate auto loans and a sample of five variable-rate auto loans had the following loan rates:
Fixed(%) | Variable(%) |
4.29 |
3.59 |
3.75 |
2.75 |
3.5 |
2.99 |
3.99 |
2.5 |
3.75 |
3 |
3.99 |
|
5.4 |
|
4 |
Answer the following questions:( I just need the numbers for the fill in the blanks, no need for the whole Hypothesis theory, just answers)
Let's define μFμF as the population mean loan rate for fixed-rate auto loans and
μVμV as the population mean loan rate for variable-rate auto loans.
a. (Assume unequal variances and a significance level of 0.05.Answers should be in 4 decimals.)
where the critical value is_________
b. What is the t test statistic and p-value? (4 decimals)
t= ________
p-value=_______
What is the value in the numerator of the test statistic?
________
c. Calculate a 95 percent confidence interval for the difference between the mean rates for fixed-rate and variable-rate 48-month auto loans.
_______ ≤ μFμF-μVμV ≤ ______ (4 decimals).
A loan officer compares the interest rates for 48-month fixed-rate auto loans and 48-month variable-rate auto...
A loan officer compares the interest rates for 48-month fixed-rate auto loans and 48-month variable-rate auto loans. Two independent, random samples of auto loan rates are selected. A sample of five 48-month variable-rate auto loans had the following loan rates: 2.10% 3.09% 2.873% 3.22% 3.11% while a sample of five 48-month fixed-rate auto loans had loan rates as follows: 4.030% 3.95% 4.390% 3.84% 4.23% Figure 11.7 JMP Output of Testing the Equality of Mean Loan Rates for Variable and Fixed...
A loan officer compares the interest rates for 48-month fixed-rate auto loans and 48-month variable-rate auto loans. Two independent, random samples of auto loan rates are selected. A sample of eight 48-month fixed−rate auto loans had the following loan rates (all written as percentages): 8.75 7.63 7.26 9.43 7.86 7.20 8.09 8.60 while a sample of five 48−month variable−rate auto loans had loan rates as follows: 7.60 7.00 6.79 7.36 6.99 (a) Set up the null and alternative hypotheses needed...
Not sure if any of the filled in answers are correct, so all would be appreciated. A loan officer compares the interest rates for 48-month fixed-rate auto loans and 48-month variable-rate auto loans. Two independent, random samples of aut rates are selected. A sample of eight 48-month fixed-rate auto loans had the following loan rates: 4.29% 3.75% 3.50% 3.99% 3.75% 3.99% 5.40% 4.00% 3.59% 2.75% 2.99% 2.50% 3.00% Figure 10.7 FIGURE 10.7 Excel Output of Testing the Equality of Mean...
new home and you have six so fixed-rate loans are now very Suppose. Shampa just signed a purchase and sale agreement on a weeks to obtain a mortgage. Interest rates have been falling attractive. Shampa could lock in a fixed rate of 7% ( annual percentage rate) for 30 years. On the other hand, rates are falling, so Shampa is thinking about a 30-year variable-rate loan, which currently at 4.5% and which is tied to the six-month Treasury bill rate....
Exercise 8-7 Algo In order to estimate the mean 30-year fixed mortgage rate for a home loan in the United States, a random sample of 15 recent loans is taken. The average calculated from this sample is 7.85%. It can be assumed that 30-year fixed mortgage rates are normally distributed with a standard deviation of 0.6%. Compute 90% and 95% confidence intervals for the population mean 30-year fixed mortgage rate. Use Table 1. (Round intermediate calculations to 4 decimal places....
A MORTGAGE SPECIALIST WOULD LIKE TO ANALYZE THE AVERAGE 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 4.10? TEST THE HYPOTHESIS AT A 5% LEVEL OF SIGNIFICANCE. financial institution apr g squared financial 4.165...
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 4.45%? Test the hypothesis at a 1% level of significance. Financial Institution APR G Squared Financial...
A mortgage speclallst would like to analyze the average mortgage rates for Atlanta, Georgla. He collects data on the annual percentage rates (APR In %) for 30-year fixed loanG as shown In the following table. If he is willing to assume that theGe rateG are randomly drawn from a normally distributed population, can he conclude that the mean mortgage rate for the population exceeds 4.2%? Test the hypothesis at the 10% level of significance. (You may find it useful to...
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 4.2%? Test the hypothesis at the 10% level of significance. (You may find it useful to...
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 4.20%? Test the hypothesis at a 10% level of significance. (You may find it useful to...