The Neal Company wants to estimate next year's return on equity (ROE) under different financial leverage ratios. Neal's total capital is $14 million, it currently uses only common equity, it has no future plans to use preferred stock in its capital structure, and its federal-plus-state tax rate is 40%. The CFO has estimated next year's EBIT for three possible states of the world: $4.9 million with a 0.2 probability, $2.5 million with a 0.5 probability, and $0.7 million with a 0.3 probability. Calculate Neal's expected ROE, standard deviation, and coefficient of variation for each of the following debt-to-capital ratios. Do not round intermediate calculations. Round your answers to two decimal places at the end of the calculations.
1) Debt/Capital ratio is 0.
2)Debt/Capital ratio is 10%, interest rate is 9%.
3) Debt/Capital ratio is 50%, interest rate is 11%.
4) Debt/Capital ratio is 60%, interest rate is 14%.
In: Finance
A 4.5m4.5m foundation carries a load of 3000 kN. The foundation
rests at a depth of 1.5m
below the ground surface. The bearing soil is an extended sand with
a saturated unit weight
(γsat) of 19 kN/m3
, modulus of elasticity (E) of 35 MPa, and Poisson’s ratio (µ) of
0.3. The
water level coincides with the ground surface.
a) Determine the effective vertical stresses (σ̍v) for points
underneath the corner and
center of the foundation and located at a depth of 6.0 m from the
ground surface.
Note: for estimating Δσ̍v (i.e., the additional vertical stresses),
use both of the
influence coefficient and approximate methods. Comment on your
results.
b) If we consider this foundation as a rigid element, what would be
its uniform
settlement under the given load? Is it safe (and why)?
c) Calculate the time-dependent maximum, minimum, and differential
settlements of the
foundation if sand is interrupted by a 2m-thick clay layer that
starts at a depth of 5m
below the ground surface. Is it safe (and why)?
Note: For the clay, take Cc = 0.2 and e = 0.7.
In: Civil Engineering
Below is a set of data collected
at 0.95 atm
for the formation of CO
2
gas produced when calcium
carbonate is reacted with aqueous HCl:
Time (min)
Volume CO
2
(mL)
1
0.2
0
2
0.3
0
3
0.5
0
4
0.7
0
5
0.9
0
6
1
.00
7
1.2
0
8
1.3
0
9
1.5
0
10
1.7
0
11
1.9
0
12
2
.00
13
2.2
0
14
2.4
0
15
2.5
0
16
2.7
0
17
2.9
0
18
3
.00
19
3.2
0
20
3.4
0
Your assignment is as follows:
1. Create a spreadsheet in Excel (or equivalent) that
contains this data and does the following
calculations
automatically:
a. Converts each gas volume measurement to
moles of CO
2
produced
(Use a
PV = nRT to
solve
). Do this twice: one column for 0
In: Chemistry
|
Future Profits |
|||||
|
Selling Price |
K2 |
K3 |
K4 |
K5 |
|
|
Product : |
|||||
|
Standard(S) |
1180 |
1090 |
960 |
892 |
|
|
Preferred(P) |
1200 |
1104 |
918 |
838 |
|
|
Ultra - Preferred (u) |
1320 |
1152 |
960 |
648 |
|
|
Probability |
0.2 |
0.3 |
0.3 |
0.2 |
|
What would be the managers decisions based on
Minimax regret criterion
In: Economics
In: Economics
|
W |
1 |
2 |
3 |
4 |
|
Pr(W=i|F=1) |
0.2 |
0.3 |
0.3 |
0.2 |
|
W |
1 |
2 |
3 |
4 |
|
Pr(W=i|F=0) |
0.1 |
0.35 |
0.4 |
0.15 |
Suppose there are 20 fertilized tomato plots and 20 unfertilized tomato plots in the field,
In: Economics
a. Expected Return: Discrete Distribution
A stock's return has the following distribution:
| Demand for the Company's Products |
Probability of This Demand Occurring |
Rate of Return if This Demand Occurs (%) |
||
| Weak | 0.1 | -40% | ||
| Below average | 0.2 | -8 | ||
| Average | 0.4 | 13 | ||
| Above average | 0.2 | 40 | ||
| Strong | 0.1 | 65 | ||
| 1.0 | ||||
Calculate the standard deviation. Round your answer to nearest two decimal places.
b. The market and Stock J have the following probability distributions:
| Probability | rM | rJ |
| 0.3 | 16% | 19% |
| 0.4 | 8 | 5 |
| 0.3 | 18 | 10 |
Calculate the standard deviation for the market and Stock J. Round your answer to nearest two decimal places.
In: Finance
Part A: The number of cars arriving at a self-service gasoline station during the last 50 hours of operation are as follows:
|
Number of Cars Arriving |
Frequency |
|
6 |
10 |
|
7 |
12 |
|
8 |
20 |
|
9 |
8 |
The following random numbers have been generated: 44, 30, 26, 09, 49, 13, 33, 89, 13, 37. Simulate 10 hours of arrivals at this station. What is the average number of arrivals during this period?
Part B: The time between arrivals at a drive-through window of a fast-food restaurant follows the distribution given below. The service time distribution is also given in the table in the right column. Use the random numbers provided to simulate the activity of the first five arrivals. Assume that the window opens at 11:00 a.m. and the first arrival is after this, based on the first interarrival time generated.
|
Time |
|||
|
Between |
Service |
||
|
Arrivals |
Probability |
Time |
Probability |
|
1 |
0.2 |
1 |
0.3 |
|
2 |
0.3 |
2 |
0.5 |
|
3 |
0.3 |
3 |
0.2 |
|
4 |
0.2 |
Random numbers for arrivals: 14, 74, 27, 03
Random numbers for service times: 88, 32, 36, 24
What time does the fourth customer leave the system?
In: Operations Management
| District | Adjusted Gross Income | Percent Audited |
| Los Angeles | 36.664 | 1.3 |
| Sacramento | 38.845 | 1.1 |
| Atlanta | 34.886 | 1.1 |
| Boise | 32.512 | 1.1 |
| Dallas | 34.531 | 1.0 |
| Providence | 35.995 | 1.0 |
| San Jose | 37.799 | 0.9 |
| Cheyenne | 33.876 | 0.9 |
| Fargo | 30.513 | 0.9 |
| New Orleans | 30.174 | 0.9 |
| Oklahoma City | 30.060 | 0.8 |
| Houston | 37.153 | 0.8 |
| Portland | 34.918 | 0.7 |
| Phoenix | 33.291 | 0.7 |
| Augusta | 31.504 | 0.7 |
| Albuquerque | 29.199 | 0.6 |
| Greensboro | 33.072 | 0.6 |
| Columbia | 30.859 | 0.5 |
| Nashville | 32.566 | 0.5 |
| Buffalo | 34.296 | 0.5 |
a) Use XLSTAT to compute a 95% confidence interval for the average percent audited of districts with an average adjusted gross income of $35,000. Interpret the interval in the context of the application.
b) Use XLSTAT to compute a 95% prediction interval for the percent audited of an individual district with an average adjusted gross income of $35,000. Interpret the interval in the context of the application.
c) Use the regression output in XLSTAT to calculate the coefficient of determination, r2r2 from the sum of squares due to regression (SSR) and the total sum of squares (SST). Interpret your calculated value of r2r2 in the context of the application.
In: Statistics and Probability
| District | Adjusted Gross Income | Percent Audited |
| Los Angeles | 36.664 | 1.3 |
| Sacramento | 38.845 | 1.1 |
| Atlanta | 34.886 | 1.1 |
| Boise | 32.512 | 1.1 |
| Dallas | 34.531 | 1.0 |
| Providence | 35.995 | 1.0 |
| San Jose | 37.799 | 0.9 |
| Cheyenne | 33.876 | 0.9 |
| Fargo | 30.513 | 0.9 |
| New Orleans | 30.174 | 0.9 |
| Oklahoma City | 30.060 | 0.8 |
| Houston | 37.153 | 0.8 |
| Portland | 34.918 | 0.7 |
| Phoenix | 33.291 | 0.7 |
| Augusta | 31.504 | 0.7 |
| Albuquerque | 29.199 | 0.6 |
| Greensboro | 33.072 | 0.6 |
| Columbia | 30.859 | 0.5 |
| Nashville | 32.566 | 0.5 |
| Buffalo | 34.296 | 0.5 |
a) Use XLSTAT to compute a 95% confidence interval for the average percent audited of districts with an average adjusted gross income of $35,000. Interpret the interval in the context of the application.
b) Use XLSTAT to compute a 95% prediction interval for the percent audited of an individual district with an average adjusted gross income of $35,000. Interpret the interval in the context of the application.
c) Use the regression output in XLSTAT to calculate the coefficient of determination, r2r2 from the sum of squares due to regression (SSR) and the total sum of squares (SST). Interpret your calculated value of r2r2 in the context of the application.
In: Statistics and Probability