A pension fund manager is considering three mutual funds. The
first is a stock fund, the second is a long-term government and
corporate bond fund, and the third is a T-bill money market fund
that yields a sure rate of 5.4%. The probability distributions of
the risky funds are:
| Expected Return | Standard Deviation | |||
| Stock fund (S) | 15 | % | 44 | % |
| Bond fund (B) | 8 | % | 38 | % |
The correlation between the fund returns is .0684.
Suppose now that your portfolio must yield an expected return of
13% and be efficient, that is, on the best feasible CAL.
What is the proportion invested in each of the two risky funds? (Do not round intermediate calculations. Round your answers to 2 decimal places.)
Stocks ________%
Bonds ________%
In: Finance
The admissions officer at a small college compares the scores on the Scholastic Aptitude Test (SAT) for the school's in-state and out-of-state applicants. A random sample of 8 in-state applicants results in a SAT scoring mean of 1048 with a standard deviation of 44. A random sample of 1616 out-of-state applicants results in a SAT scoring mean of 1147 with a standard deviation of 43. Using this data, find the 98% confidence interval for the true mean difference between the scoring mean for in-state applicants and out-of-state applicants. Assume that the population variances are not equal and that the two populations are normally distributed.
Step 2 of 3 : Find the margin of error to be used in constructing the confidence interval. Round your answer to six decimal places.
In: Statistics and Probability
A researcher would like to predict the dependent variable Y from the two independent variables X1 and X2 for a sample of N=16 subjects. Use multiple linear regression to calculate the coefficient of multiple determination and test the significance of the overall regression model. Use a significance level α=0.05.
X1 X2 Y
| 48 | 42.3 | 47.1 |
| 36.3 | 58.7 | 65.4 |
| 43.4 | 40.2 | 63.6 |
| 49.5 | 37.9 | 45.6 |
| 45.5 | 37.2 | 50.8 |
| 40.6 | 64.7 | 42.4 |
| 42.5 | 46.7 | 63.1 |
| 42.7 | 40 | 35.8 |
| 55.8 | 10.6 | 52.1 |
| 40.9 | 63 | 60.3 |
| 39.6 | 56.5 | 44 |
| 43.5 | 45.1 | 61.2 |
| 39 | 68.8 | 67.2 |
| 50.4 | 43.7 | 40.6 |
| 46.1 | 42.6 | 58 |
| 55.2 | 19.1 | 49.1 |
SSreg=
SSres=
R2=
F=
P-value =
What is your decision for the hypothesis test?
What is your final conclusion?
In: Statistics and Probability
Raner, Harris & Chan is a consulting firm that specializes in information systems for medical and dental clinics. The firm has two offices—one in Chicago and one in Minneapolis. The firm classifies the direct costs of consulting jobs as variable costs. A contribution format segmented income statement for the company’s most recent year is given:
Assume that Minneapolis’ sales by major market are:
|
Market |
||||||||||||
| Minneapolis | Medical | Dental | ||||||||||
| Sales | $ | 630,000 | 100 | % | $ | 420,000 | 100 | % | $ | 210,000 | 100 | % |
| Variable expenses | 378,000 | 60 | % | 273,000 | 65 | % | 105,000 | 50 | % | |||
| Contribution margin | 252,000 | 40 | % | 147,000 | 35 | % | 105,000 | 50 | % | |||
| Traceable fixed expenses | 75,600 | 12 | % | 21,000 | 5 | % | 54,600 | 26 | % | |||
| Market segment margin | 176,400 | 28 | % | $ | 126,000 | 30 | % | $ | 50,400 | 24 | % | |
|
Common fixed expenses |
18,900 | 3 | % | |||||||||
| Office segment margin | $ | 157,500 | 25 | % | ||||||||
The company would like to initiate an intensive advertising campaign in one of the two market segments during the next month. The campaign would cost $8,400. Marketing studies indicate that such a campaign would increase sales in the Medical market by $73,500 or increase sales in the Dental market by $63,000.
Required:
1. How much would the company's profits increase (decrease) if it implemented the advertising campaign in the Medical Market??
|
2. How much would the company's profits increase (decrease) if it implemented the advertising campaign in the Dental Market?
|
3. In which of the markets would you recommend that the company focus its advertising campaign?
In which of the markets would you recommend that the company focus its advertising campaign?
|
In: Accounting
1.1 A company with a cost of capital of 20% has identified projects with the following cash flows:
| Year | Project C | Project D |
| 0 | -N$100 000 | -N$30 000 |
| 1 | 40 000 | 10 000 |
| 2 | 45 000 | 15 000 |
| 3 | 50 000 | 20 000 |
| 4 | 55 000 | 25 000 |
Required 1:
a. Calculate the payback period of each project.
b. Calculate the NPV and IRR of each project.
c. Which project would you accept on basis of NPV? On basis of IRR?
d. Compare and contrast NPV and IRR by listing advantages and
disadvantages of each method. Based on the comparison, which of the
two projects would you recommend?
2.2 A firm has total financing of N$20.06 million
made up of N$14.46 million worth of equity and N$5.6 million worth
of debt. The after tax cost of debt is N$12.8%. The next dividend
is expected to be 10 cents, the current price is 50 cents
ex-dividend and the growth rate is 8%. The firm is planning to
raise N$5 million in new equity capital at 50 cents with floatation
costs of 2 cents per share.
Required 2:
Calculate the firm’s WACC.
In: Finance
Part 1 (20%)
Implement a class with a main method. Using an enhanced for loop, display each element of this array:
String[] names = {"alice", "bob", "carla", "dennis", "earl", "felicia"};
Part 2 (30%)
In a new class, implement two methods that will each calculate and
return the average of an array of numeric values passed into it.
Constraints:
Implement a new class demonstrating your methods in action. Call your methods at least twice each with arrays of different sizes each time.
Part 3 (50%)
The Valencia Ice Cream Shoppe pays its summer employees bonuses
based on two factors: the number of weeks worked over the summer,
and the number of positive customer reviews. The table below shows
the bonuses based on these two factors.
|
Positive Reviews (right) Weeks Worked (down) |
0 | 1 | 2 | 3 | 4 or more |
| 0 | 25 | 45 | 80 | 110 | 150 |
| 1 | 50 | 60 | 90 | 120 | 180 |
| 2 | 100 | 125 | 160 | 210 | 265 |
| 3 | 160 | 190 | 225 | 275 | 340 |
| 4 | 230 | 270 | 325 | 385 | 450 |
| 5 | 300 | 360 | 420 | 480 | 600 |
| 6 or more | 425 | 500 | 600 | 700 | 875 |
Examples:
Write an application that:
Please submit:
(1) all source code (.java files)
(2) screenshots showing all programs in action (image files)
In: Computer Science
In: Finance
In: Finance
Consider the following data for two variables, and .
| x | 8 | 27 | 21 | 16 | 22 |
| y | 8 | 30 | 23 | 12 | 26 |
a. Develop an estimated regression equation for the data of the form y=b0+b1x . Comment on the adequacy of this equation for predicting . Enter negative value as negative number.
| The regression equation is | ||||||||||||||||||||||||
| Y=_______+_______ (to 2 decimals) | ||||||||||||||||||||||||
|
||||||||||||||||||||||||
| Analysis of Variance | ||||||||||||||||||||||||
|
Using a .05 significance level, the p-value indicates a - Select your answer -weak relationship strong relationship no relationship ; note that (to 1 decimal) of the variability in has been explained by .
b. Develop an estimated regression equation for the data of the form y=b0+b1x+b2x^2. Comment on the adequacy of this equation for predicting y . Enter negative value as negative number. If your answer is zero, enter "0".
| The regression equation is | ||||||||||||||||||||||||
| Y=______+_____x+______x^2 (to 2 decimals) | ||||||||||||||||||||||||
|
||||||||||||||||||||||||
| Analysis of Variance | ||||||||||||||||||||||||
|
At the .05 level of significance, the relationship - Select your answer -is/ is not significant; note that (to 1 decimal) of the variability in has been explained by .
c.Using the appropriate regression model, predict the value of y when x=17 .
(to 2 decimals)
In: Statistics and Probability
Use the Law of Cosines to solve the triangle. (Let a = 11.9 ft and c = 12.1 ft. Round your answer for b to two decimal places. Round your answers for A and C to the nearest minute.)
one angle is 50 degrees, 30'
In: Math