Clara and Charles decide to form a business. They each plan to contribute $ 15,000 in exchange for a 50 percent interest. The business will borrow $ 20,000 to cover the balance of its working capital needs. In their business plan, Clara and Charles show that the business will have a loss of $ 54,000 in its first year. In the second year, however, the business will a profit of $60,000 and they will each be able to withdraw $5,000 from the business. Clara is in the 28 percent marginal tax bracket and Charles is in the 25 percent marginal tax bracket.
A. Determine the taxes paid by the business (if any) in the first and second year if they organize the business as (1) a partnership, (2) an S corporation and (3) a C corporation
B. Determine Clara’s and Charles’s income tax savings in the first year and their bases in the business at year-end if they organize the business as (1) a partnership, (2) an S corporation and (3) a C corporation
C. Determine the income tax Clara and Charles will pay in the second year from business operations and their bases in the business at year-end if they organize the business as (1) a partnership, (2) an S corporation, and (3) a C corporation.
In: Accounting
In: Biology
1. There are four loci in wild sorghum that each contribute equally to the height of the plant. The smallest plant is 2 feet tall. When homozygous for contributing alleles at all four loci, however, the plant stands at 10 feet tall. If one crosses a small sorghum plant (2 ft tall) with a giant sorghum plant, the F1 are all 6 feet tall. Letting the F1 self-pollinate, how often will a plant 8 feet tall be found in the F2 progeny?
| A. 1/64 | ||||||||||||||
| B. 6/64 | ||||||||||||||
| C. 7/64 | ||||||||||||||
|
D. 20/64 2. There are four loci in wild sorghum that each contribute equally to the height of the plant. The smallest plant is 2 feet tall. When homozygous for contributing alleles at all four loci, however, the plant stands at 10 feet tall. Based on the above information, what is the individual allelic contribution to the overall height of the plant?
|
In: Biology
Here is a statement:
“The concepts of probability and statistics are powerful ones and contribute extensively to the solutions of many types of engineering problems”.
What would be the best way to answer the following:
Why, in your own words, do you think in your specifically engineering professional practice, probability and statistics will help you to be successful?
In: Statistics and Probability
You want to come up with a plan to save for retirement. You will contribute to your retirement account monthly for 40 years. One month after your last contribution you will begin monthly withdrawals of $7,500 from that retirement account. You earn 6.6% APR while you’re contributing to your retirement savings and 3.6% APR while you are withdrawing. You want to have enough money to finance 35 years in retirement. (Assume compounding frequencies match the payment frequencies.)
What kind of cash flow pattern are the retirement withdrawals?
a.Lump sum b.Annuity c. Perpetuity d. Growing perpetuity
What variable would you solve for to find the value of all the retirement withdrawals at the beginning of retirement?
a. Present value b. Payment c.Interest rate d. Time e. Future Value
What is the value of the retirement withdrawals at the beginning of retirement?
What kind of cash flow pattern is the savings contributions?
a. Lump sum b. Annuity c. Perpetuity b. Growing perpetuity
What variable would you solve for to find the monthly savings contribution?
a. Present value b. Payment c. Interest rate d. Time e. Future Value
What is the monthly savings contribution you must make to fully fund your retirement?
In: Finance
Which of the following did NOT contribute to an increase in antibiotic resistance in bacteria? Question 24 options: A) Prescribing of antibiotics for viral infections B) Addition of antibiotic to common household products, such as hand soap C) Failure by hospitals to sterilize surgical tools D) All of the above contributed to antibiotic resistance in bacteria.
In: Biology
You are given the following information on probabilities of events happening, and rates for return for possible projects A and B.
|
Prob |
A |
B |
|
0.2 |
2% |
8% |
|
0.2 |
9% |
9% |
|
0.2 |
10% |
10% |
|
0.2 |
11% |
16% |
|
0.2 |
13% |
18% |
σp2=wA2σA2+wB2σB2+wC2σC2+2wAwBσAσBρA,B+2wAwCσAσCρA,C+2wBwCσBσCρB,C
where w denotes the weight, σ denotes the standard deviation, and ρ denotes the correlation between two denoted assets of the subscript.
The expected return of C is 13% and the variance is 16. The correlation between A and C is 0.7, and the correlation between B and C is -0.1. The correlation between A and B is again 0.5. You allocate 50% of your capital into A, 25% into B, and 25% into C.
For the new portfolio with three assets, calculate (1) the expected return and (2) standard deviation. Then briefly discuss the relationship between the risk and the number of holdings in a portfolio based on your findings from this question and from (d) .
In: Finance
49.
{Exercise 12.26 (Algorithmic)}
The following data on price ($) and the overall score for 6
stereo headphones that were tested by Consumer Reports were as
follows.
| Brand | Price | Score |
| Bose | 190 | 78 |
| Scullcandy | 150 | 78 |
| Koss | 95 | 65 |
| Phillips/O'Neill | 70 | 57 |
| Denon | 80 | 40 |
| JVC | 35 | 27 |
a. Does the t test indicate a significant relationship between price and the overall score?
The test t-Conclusion at α = .05
t = (to 2 decimal places.)
p-value is - Select your answer -less than .02between .02
and .05between .05 and .1between .1 and .2greater than .2Item 2
What is your conclusion? Use α = .05.
- Select your answer -There is a significant relationship between
price and overall scoreThere is no significant relationship between
price and overall scoreItem 3 .
b. Test for a significant relationship using
the F test.
p-value is - Select your answer -less than .01between .01
and .025between .025 and .05between .05 and .1greater than .1Item
4
What is your conclusion? Use α = .05.
Because p-value is - Select your answer -greater than or equal toless than or equal toequal toItem 5 .05, we - Select your answer -acceptrejectItem 6 H0: β1 is - Select your answer -greater than or equal to zeroless than or equal to zeroequal to zeroItem 7 .
c. Show the ANOVA table for these data. Round your answers to three decimal places, if necessary.
| Source of Variation |
Sum of Squares |
Degrees of Freedom |
Mean Square |
F |
p-value |
| Regression | - Select your answer -less than .01between .01 and .025between .025 and .05between .05 and .1greater than .1Item 12 | ||||
| Error | |||||
| Total |
In: Statistics and Probability
The following data on price ($) and the overall score for 6
stereo headphones that were tested by Consumer Reports were as
follows.
| Brand | Price | Score |
| Bose | 180 | 78 |
| Scullcandy | 160 | 77 |
| Koss | 85 | 63 |
| Phillips/O'Neill | 70 | 57 |
| Denon | 80 | 40 |
| JVC | 35 | 27 |
a. Does the t test indicate a significant relationship between price and the overall score?
The test t-Conclusion at α = .05
t = (to 2 decimal places.)
p-value is - Select your answer -less than .02between .02
and .05between .05 and .1between .1 and .2greater than .2Item 2
What is your conclusion? Use α = .05.
- Select your answer -There is a significant relationship between
price and overall scoreThere is no significant relationship between
price and overall scoreItem 3 .
b. Test for a significant relationship using
the F test.
p-value is - Select your answer -less than .01between .01
and .025between .025 and .05between .05 and .1greater than .1Item
4
What is your conclusion? Use α = .05.
Because p-value is - Select your answer -greater than or equal toless than or equal toequal toItem 5 .05, we - Select your answer -acceptrejectItem 6 H0: β1 is - Select your answer -greater than or equal to zeroless than or equal to zeroequal to zeroItem 7 .
c. Show the ANOVA table for these data. Round your answers to three decimal places, if necessary.
| Source of Variation |
Sum of Squares |
Degrees of Freedom |
Mean Square |
F |
p-value |
| Regression | - Select your answer -less than .01between .01 and .025between .025 and .05between .05 and .1greater than .1Item 12 | ||||
| Error | |||||
| Total |
In: Math
The data in the attached excel file comes from Consumer Reports and was collected over a two-year period. It gives the average mpg over a 195-mile trip, the weight of the vehicle (pounds), engine displacement (liters), number of cylinders, horsepower, type of transmission (0 = manual, 1 = automatic), the number of gears and whether the car was foreign (1) or domestic (0).
Part a: Build a model for predicting the average mpg based on the data in the attached excel spread sheet. Show and annotate your work in the excel spread sheet. Include an interpretation of the final model.
Part b: Using your final model from part a, construct an interval estimate of the average mpg of a vehicle which weighs 3000 pounds, with an engine displacement of 2.5 liters, 4 cylinders, 150 hp, manual transmission, 5 gears and is a domestic car. Explain what this means.
| CASE | TRIP MPG | WEIGHT | DISPLACE | NO CYL | HP | TRANS | GEARS | FOR/DORM |
| 1 | 32 | 2365 | 1.6 | 4 | 113 | 0 | 5 | 1 |
| 2 | 33 | 2430 | 1.6 | 4 | 108 | 0 | 5 | 1 |
| 3 | 42 | 1895 | 1.3 | 4 | 60 | 0 | 4 | 1 |
| 4 | 36 | 2320 | 1.6 | 4 | 74 | 1 | 3 | 0 |
| 5 | 32 | 2330 | 1.6 | 4 | 82 | 1 | 3 | 1 |
| 6 | 34 | 2255 | 1.5 | 4 | 68 | 1 | 3 | 1 |
| 7 | 36 | 2350 | 1.6 | 4 | 74 | 1 | 3 | 1 |
| 8 | 41 | 1635 | 1.3 | 4 | 58 | 0 | 4 | 1 |
| 9 | 36 | 2070 | 1.6 | 4 | 82 | 0 | 4 | 1 |
| 10 | 34 | 2115 | 1.5 | 4 | 68 | 0 | 4 | 1 |
| 11 | 35 | 1840 | 1.1 | 4 | 52 | 0 | 4 | 1 |
| 12 | 43 | 1970 | 1.5 | 4 | 78 |
0 |
4 | 1 |
| 13 | 51 | 1575 | 1.0 | 3 | 48 | 0 | 5 | 1 |
| 14 | 37 | 2185 |
1.5 |
4 | 68 | 0 | 4 | 1 |
| 15 | 36 | 2115 | 1.8 | 4 | 81 | 0 | 4 | 1 |
| 16 | 28 | 3040 | 2.2 | 4 | 145 | 1 | 4 | 1 |
| 17 | 34 | 2620 | 2.0 | 4 | 108 | 1 | 3 | 1 |
| 18 | 25 | 3230 | 3.0 | 6 | 142 | 1 | 4 | 1 |
| 19 | 29 | 2745 | 2.0 | 4 | 102 | 1 | 4 | 1 |
| 20 | 28 | 2573 | 1.9 | 4 | 110 | 1 | 4 | 1 |
| 21 | 27 | 2802 | 2.3 | 4 | 100 | 1 | 3 | 0 |
| 22 | 31 | 2699 | 2.0 | 4 | 90 | 1 | 3 | 0 |
| 23 | 36 | 2695 | 2.2 | 4 | 110 | 0 | 5 | 0 |
| 24 | 31 | 2885 | 2.5 | 4 | 100 | 0 | 5 | 0 |
| 25 | 23 | 3310 | 5.0 | 8 | 225 | 1 | 4 | 0 |
| 26 | 23 | 3430 | 5.0 | 8 | 170 | 1 | 4 | 0 |
| 27 | 29 | 2670 | 2.2 | 4 | 97 | 1 | 3 | 0 |
| 28 | 35 | 2925 | 2.0 | 4 | 115 | 1 | 4 | 1 |
| 29 | 28 | 2735 | 2.5 | 4 | 98 | 1 | 3 | 0 |
| 30 | 29 | 3155 | 3.0 | 6 | 140 | 1 | 4 | 0 |
| 31 | 30 | 2995 | 3.0 | 6 | 150 | 1 | 4 | 0 |
| 32 | 27 | 3150 | 3.0 | 6 | 136 | 1 | 3 | 0 |
| 33 | 29 | 2950 | 2.8 | 6 | 125 | 1 | 3 | 0 |
| 34 | 26 | 3295 | 3.8 | 6 | 140 | 1 | 4 | 0 |
| 35 | 28 | 2915 | 2.5 | 4 | 100 | 1 | 3 | 0 |
| 36 | 29 | 3220 | 2.8 | 6 | 125 | 1 | 4 | 0 |
| 37 | 26 | 2900 | 2.2 | 4 | 146 | 1 | 3 | 0 |
| 38 | 27 | 3205 | 2.5 | 4 | 153 | 1 | 4 | 1 |
| 39 | 26 | 2930 | 2.2 | 4 | 103 | 1 | 3 | 0 |
| 40 | 25 | 3320 | 3.0 | 6 | 157 | 1 | 4 | 1 |
| 41 | 26 | 3080 | 2.3 | 4 | 114 | 1 | 4 | 1 |
| 42 | 24 | 3625 | 3.0 | 6 | 136 | 1 | 3 | 0 |
| 43 | 23 | 3665 | 3.0 | 6 | 145 | 1 | 4 | 0 |
| 44 | 22 | 3625 | 2.4 | 4 | 106 | 1 | 4 | 1 |
| 45 | 23 | 3415 | 2.4 | 4 | 107 | 1 | 4 | 1 |
In: Statistics and Probability