Dan and Cheryl are married, file a joint return, and have no children. Dan is a pharmaceutical salesman and Cheryl is a nurse at a local hospital. Dan's SSN is 400-20-1000 and Cheryl's SSN is 200-40-8000 and they reside at 2033 Palmetto Drive, Nashville, TN 28034. Dan is paid according to commissions from sales; however, his compensation is subject to withholding of income and payroll taxes. He also maintains an office in his home as the pharmaceutical company does not have an office in Nashville and when he is not traveling, Dan operates his business from his home office. During 2018, Dan earned total compensation from his job of $125,000, on which $18,000 of federal income taxes were withheld, $7,750 of OASDI, and $1,813 of Medicare taxes. State income taxes of $4,000 were withheld. Cheryl earned a salary during 2016 of $45,400, on which federal taxes withheld were $4,000, OASDI of $2,815, and Medicare taxes of $658.
During 2017, Dan and Cheryl had interest income from corporate bonds and bank accounts of $1,450 and qualified dividends from stocks of $5,950. Dan also actively trades stocks and had the following results for 2017:
LTCG $4,900
LTCL ($3,200)
STCG $0
STCL ($7,800)
He had no capital loss carryovers from previous years. Dan does a considerable amount of travel in connection with his job. He uses his own car and is reimbursed $0.30 per business mile. During 2018, Dan drove his car a total of 38,000 miles (evenly throughout the year), of which 32,000 were business related. He also had business-related parking fees and tolls during the year of $280. Dan uses the mileage method for deducting auto expenses. Dan also had the following travel expenses while away from home during the year: Hotel $4,200
Meals $820
Entertainment of customers $1,080
Tips $100
Laundry and cleaning $150
Total $6,350
Dan was reimbursed for the travel expenses by his employer,
pursuant to an accountable plan, in the amount of $5,080.
Dan's expenses in connection with his office in the home were as
follows:
Office supplies $ 290
Telephone (separate line) $1,100
Utilities (entire house) $3,400
Homeowners insurance $600
Interest and property taxes (see below for totals)
Repairs and maintenance (entire house) $800
Dan's office is 300 square feet and the total square footage of the house is 3,000 square feet. Dan and Cheryl purchased the house on June 12, 2007, for $280,000, of which $40,000 is attributable to the land.
Cheryl incurred several expenses in connection with her nursing job. She paid $450 in professional dues, $200 in professional journals, and $350 for uniforms. Dan and Cheryl had the following other expenditures during the year:
Health insurance premiums (after-tax) $ 4,400
Doctor bills $470
Real estate taxes on home $2,200
Personal property taxes $400
Mortgage interest $15,600
Charitable contributions cash $9,000
Charitable contributions GE stock owned for 5 years: FMV $8,000 Adjusted basis $2,000
Tax preparation fees $750
Please fill out Form 1040 with Schedule 1 and 4 as well as Schedule A,C,D, and SE. Also Form 8829 for 2018
Thank you
In: Accounting
1.
USA Today reported that about 47% of the general consumer population in the United States is loyal to the automobile manufacturer of their choice. Suppose Chevrolet did a study of a random sample of 996 Chevrolet owners and found that 503 said they would buy another Chevrolet. Does this indicate that the population proportion of consumers loyal to the car company is more than 47%? Use α = 0.01. Solve the problem using both the traditional method and the P-value method. Since the sampling distribution of p̂ is the normal distribution, you can use critical values from the standard normal distribution as shown in the table of critical values of the z distribution. (Round the test statistic and the critical value to two decimal places. Round the P-value to four decimal places.)
| test statistic | = | |
| critical value | = | |
| P-value | = |
State your conclusion in context of the application.
There is sufficient evidence at the 0.01 level to conclude that the true proportion of consumers loyal to the car company is more than 47%.
There is insufficient evidence at the 0.01 level to conclude that the true proportion of consumers loyal to the car company is more than 47%.
Compare your conclusion with the conclusion obtained by using the
P-value method. Are they the same?
The conclusions obtained by using both methods are the same.
We reject the null hypothesis using the P-value method, but fail to reject using the traditional method.
We reject the null hypothesis using the traditional method, but fail to reject using the P-value method.
2.
In this problem, assume that the distribution of differences is
approximately normal. Note: For degrees of freedom
d.f. not in the Student's t table, use
the closest d.f. that is smaller. In
some situations, this choice of d.f. may increase
the P-value by a small amount and therefore produce a
slightly more "conservative" answer.
Suppose that at five weather stations on Trail Ridge Road in Rocky
Mountain National Park, the peak wind gusts (in miles per hour) for
January and April are recorded below.
| Wilderness District | 1 | 2 | 3 | 4 | 5 |
| January | 139 | 120 | 126 | 64 | 78 |
| April | 101 | 110 | 108 | 88 | 61 |
Does this information indicate that the peak wind gusts are higher in January than in April? Use α = 0.01. Solve the problem using the critical region method of testing. (Let d = January − April. Round your answers to three decimal places.)
| test statistic | = | |
| critical value | = |
Interpret your conclusion in the context of the application.
Reject the null hypothesis, there is sufficient evidence to claim average peak wind gusts are higher in January.
Fail to reject the null hypothesis, there is sufficient evidence to claim average peak wind gusts are higher in January.
Fail to reject the null hypothesis, there is insufficient evidence to claim average peak wind gusts are higher in January.
Reject the null hypothesis, there is insufficient evidence to claim average peak wind gusts are higher in January.
Compare your conclusion with the conclusion obtained by using the
P-value method. Are they the same?
We reject the null hypothesis using the critical region method, but fail to reject using the P-value method.
We reject the null hypothesis using the P-value method, but fail to reject using the critical region method.
The conclusions obtained by using both methods are the same.
In: Statistics and Probability
Dan and Cheryl are married, file a joint return, and have no children. Dan is a pharmaceutical salesman and Cheryl is a nurse at a local hospital. Dan's SSN is 400-20-1000 and Cheryl's SSN is 200-40-8000 and they reside at 2033 Palmetto Drive, Nashville, TN 28034. Dan is paid according to commissions from sales; however, his compensation is subject to withholding of income and payroll taxes. He also maintains an office in his home as the pharmaceutical company does not have an office in Nashville and when he is not traveling, Dan operates his business from his home office. During 2017, Dan earned total compensation from his job of $125,000, on which $18,000 of federal income taxes were withheld, $7,750 of OASDI, and $1,813 of Medicare taxes. State income taxes of $4,000 were withheld. Cheryl earned a salary during 2016 of $45,400, on which federal taxes withheld were $4,000, OASDI of $2,815, and Medicare taxes of $658.
During 2017, Dan and Cheryl had interest income from corporate bonds and bank accounts of $1,450 and qualified dividends from stocks of $5,950. Dan also actively trades stocks and had the following results for 2017:
LTCG $4,900
LTCL ($3,200)
STCG $0
STCL ($7,800)
He had no capital loss carryovers from previous years. Dan does a considerable amount of travel in connection with his job. He uses his own car and is reimbursed $0.30 per business mile. During 2017, Dan drove his car a total of 38,000 miles (evenly throughout the year), of which 32,000 were business related. He also had business-related parking fees and tolls during the year of $280. Dan uses the mileage method for deducting auto expenses. Dan also had the following travel expenses while away from home during the year: Hotel $4,200
Meals $820
Entertainment of customers $1,080
Tips $100
Laundry and cleaning $150
Total $6,350
Dan was reimbursed for the travel expenses by his employer,
pursuant to an accountable plan, in the amount of $5,080.
Dan's expenses in connection with his office in the home were as
follows:
Office supplies $ 290
Telephone (separate line) $1,100
Utilities (entire house) $3,400
Homeowners insurance $600
Interest and property taxes (see below for totals)
Repairs and maintenance (entire house) $800
Dan's office is 300 square feet and the total square footage of the house is 3,000 square feet. Dan and Cheryl purchased the house on June 12, 2007, for $280,000, of which $40,000 is attributable to the land.
Cheryl incurred several expenses in connection with her nursing job. She paid $450 in professional dues, $200 in professional journals, and $350 for uniforms. Dan and Cheryl had the following other expenditures during the year:
Health insurance premiums (after-tax) $ 4,400
Doctor bills $470
Real estate taxes on home $2,200
Personal property taxes $400
Mortgage interest $15,600
Charitable contributions cash $9,000
Charitable contributions GE stock owned for 5 years: FMV $8,000 Adjusted basis $2,000
Tax preparation fees $750
Compute Dan and Cheryl's income tax liability for 2017. Disregard the alternative minimum tax.
In: Accounting
In: Operations Management
In: Economics
A chemist wants to prepare a stock solution of H2SO4 so that samples of 20 mL will produce a solution with a concentration of 0.2 M when added to 80.0 mL of water. What should the molarity of the stock solution be?
In: Chemistry
BBT Production is promoting a concert in Kuala Lumpur. The bands will receive a flat fee of RM7 million in cash. The concert will be shown worldwide on closed-circuit television. BBT will collect 100% of the receipts and will return 30% to the individual local closed-circuit theater managers. BBT expects to sell 1.1 million seats at a net average price of RM13 each.
Required:
|
a) |
The general manager of BBT Production is trying to decide what amount to spend for advertising. What is the most BBT could spend and still break even on overall operations, assuming sales of 1.1 million tickets? |
|
b) |
If BBT desires an operating income of rm500,000, how many seats would have to sell? Assume the average price is RM13 and total fixed cost (advertising above) |
In: Accounting
1. Suppose Mary has an income of $315 per month and eats out for $15 a dinner and sees movies at a cost of $9 per movie.
a.Explain why you do not need to graph her budget constraint to determine the slope, given the information above. What is the value of the slope of the budget constraint?
b.Suppose Mary finds a new job and now makes $360 per month. However, her local movie theater raises ticket prices to $12. Draw Mary’s new budget constraint, with the quantity of movies on the vertical axis and dinners on the horizontal axis, appropriately labeling the values for the x-intercept and y-intercept.
c.Is it feasible for Mary to go out to dinner 12 times and go to the movies 17 times during the month with her new income? Explain your answer.
In: Economics
Given the following table of grades:
|
Grades |
A |
B |
C |
D |
F |
Totals |
|
Males |
17 |
8 |
14 |
11 |
3 |
53 |
|
Females |
12 |
11 |
13 |
6 |
5 |
47 |
|
Totals |
29 |
19 |
27 |
17 |
8 |
100 |
a. What is the probability that a randomly selected student got an A or B?
b. What is the probability that if a student was female that they got a passing grade?
c. What is the probability of a female student given that they got a “B”?
4. The Edward’s Theater chain has studied its movie customers to determine how much money they spend on concessions. The study revealed that the spending distribution is approximately normally distributed with a mean of $4.11 and a standard deviation of $1.37. What percentage of customers will spend less than $3.00 on concessions? Use the Z-tables in the textbook.
In: Statistics and Probability
1. What effect, if any, does each of the following events have on the price elasticity of demand for corporate-owned jets?
a. The cost of manufacturing corporate jets rises
b. Reduced corporate earnings lead to cuts in travel budgets and increase the share of expenditures on corporate jet travel.
2. Since the movie, Avatar, 3-D movies have been popular and charged at a higher price, compared with the traditional 2-D movies.
a. Please analyze the impact of 3-D movies on Price elasticity of demand on 2-D movies
Please answer all of the two questions by one paragraph for each sub-question in one posting.
b. Total revenue (including 2-D and 3-D movies) of theater box offices
In: Economics