Questions
Bob's Cars purchased a new car for use in its business on January 1, 2017. It...

Bob's Cars purchased a new car for use in its business on January 1, 2017. It paid $30,000 for the car. Charm expects the car to have a useful life of four years with an estimated residual value of zero. Charm expects to drive the car as follows

Year 2017: 20,000 miles driven

Year 2018: 45,000 miles driven

Year 2019: 40,000 miles driven

Year 2020: 15,000 miles driven

Total Miles Driven: 120,000 miles

1. Using the straight-line method of depreciation, calculate the following amounts for the car for each of the four years of its expected life:
a.   Depreciation expense
b.   Accumulated depreciation balance
c.   Book value

2. Using the Units-of-Production method of depreciation, calculate the following amounts for the car for each of the four years of its expected life:
a.   Depreciation expense
b.   Accumulated depreciation balance
c.   Book value

3. Using the Double-Declining-Balance method of depreciation, calculate the following amounts for the car for each of the four years of its expected life:
a.   Depreciation expense
b.   Accumulated depreciation balance
c.   Book value

4. Using the Double-Declining-Balance method of depreciation, calculate the following and record the appropriate journal entry assuming all events occurred at end of 2018.
a.   Assume the car was involved in an accident, damaged beyond repair, and disposed of.
b.   Assume the car was involved in an accident and sold for $1,000.
c.   Assume the car was limited edition and resold for $24,000.

In: Accounting

An automobile manufacturer who wishes to advertise that one of its models achieves 30 mpg (miles...

An automobile manufacturer who wishes to advertise that one of its models achieves 30 mpg (miles per gallon) decides to carry out a fuel efficiency test. Six nonprofessional drivers were selected, and each one drove a car from Phoenix to Los Angeles. The resulting fuel efficiencies (in miles per gallon) are given below.

27.3 29.4 31.2 28.4 30.2 29.6

Assuming that fuel efficiency is normally distributed under these circumstances, do the data contradict the claim that true average fuel efficiency is (at least) 30 mpg? Test the appropriate hypotheses at significance level 0.05. (Use a statistical computer package to calculate the P-value. Round your test statistic to two decimal places and your P-value to three decimal places.)

t=P-value=

State the conclusion in the problem context.

Reject H0. We have convincing evidence that the mean fuel efficiency under these circumstances is less than 30 miles per gallon.Reject H0. We do not have convincing evidence that the mean fuel efficiency under these circumstances is less than 30 miles per gallon.    Do not reject H0. We have convincing evidence that the mean fuel efficiency under these circumstances is less than 30 miles per gallon.Do not reject H0. We do not have convincing evidence that the mean fuel efficiency under these circumstances is less than 30 miles per gallon.

In: Statistics and Probability

Almost all U.S. light-rail systems use electric cars that run on tracks built at street level....

Almost all U.S. light-rail systems use electric cars that run on tracks built at street level. The Federal Transit Administration claims light-rail is one of the safest modes of travel, with an accident rate of .99 accidents per million passenger miles as compared to 2.29 for buses. The following data show the miles of track and the weekday ridership in thousands of passengers for six light-rail systems.

City Miles of Track Ridership (1000s)
Cleveland 13 14
Denver 15 34
Portland 36 80
Sacramento 19 30
San Diego 45 74
San Jose 29 29
St. Louis 32 41
  1. Use these data to develop an estimated regression equation that could be used to predict the ridership given the miles of track.

    Compute b0 and b1 (to 2 decimals).
    b1   
    b0   

    Complete the estimated regression equation (to 2 decimals).
    =   +  x
  2. Compute the following (to 1 decimal):
    SSE
    SST
    SSR
    MSE

  3. What is the coefficient of determination (to 3 decimals)? Note: report r2 between 0 and 1.
      

    Does the estimated regression equation provide a good fit?
    SelectYes, it even provides an excellent fitYes, it provides a good fitNo, it does not provide a good fitItem 10  
  4. Develop a 95% confidence interval for the mean weekday ridership for all light-rail systems with 30 miles of track (to 1 decimal).
    (  ,   )
  5. Suppose that Charlotte is considering construction of a light-rail system with 30 miles of track. Develop a 95% prediction interval for the weekday ridership for the Charlotte system (to 1 decimal).
    (  ,   )

In: Economics

Almost all U.S. light-rail systems use electric cars that run on tracks built at street level....

Almost all U.S. light-rail systems use electric cars that run on tracks built at street level. The Federal Transit Administration claims light-rail is one of the safest modes of travel, with an accident rate of .99 accidents per million passenger miles as compared to 2.29 for buses. The following data show the miles of track and the weekday ridership in thousands of passengers for six light-rail systems.

City Miles of Track Ridership (1000s)
Cleveland 17 16
Denver 19 36
Portland 40 82
Sacramento 23 32
San Diego 49 76
San Jose 33 31
St. Louis 36 43
  1. Use these data to develop an estimated regression equation that could be used to predict the ridership given the miles of track.

    Compute b0 and b1 (to 2 decimals).
    b1
    b0

    Complete the estimated regression equation (to 2 decimals).
    =  +  x
  2. Compute the following (to 1 decimal):
    SSE
    SST
    SSR
    MSE

  3. What is the coefficient of determination (to 3 decimals)? Note: report r2 between 0 and 1.


    Does the estimated regression equation provide a good fit?
    SelectYes, it even provides an excellent fitYes, it provides a good fitNo, it does not provide a good fitItem 10
  4. Develop a 95% confidence interval for the mean weekday ridership for all light-rail systems with 30 miles of track (to 1 decimal).
    (  ,  )
  5. Suppose that Charlotte is considering construction of a light-rail system with 30 miles of track. Develop a 95% prediction interval for the weekday ridership for the Charlotte system (to 1 decimal).
    (  ,  )

In: Math

Use MATLAB to plot the functions u = 2 log10(60x + 1) and υ = 3 cos(6x) over the interval 0 ≤ x ≤ 2.

Use MATLAB to plot the functions u = 2 log10(60x + 1) and υ = 3 cos(6x) over the interval 0 ≤ x ≤ 2. Properly label the plot and each curve. The variables u and represent speed in miles per hour; the variable x represents distance in miles.

In: Mechanical Engineering

Suppose one gallon of gasoline produces 1.24×108 J of energy, and this energy is sufficient to...

Suppose one gallon of gasoline produces 1.24×108 J of energy, and this energy is sufficient to operate a car for 20.8 miles. An aspirin tablet has a mass of 339 mg. If the aspirin could be converted completely into thermal energy, how many miles could the car go on a single tablet?

In: Physics

A 335-room hotel property recorded in 2004 a 66.6% occupancy and an ADR of $117.98. What...

A 335-room hotel property recorded in 2004 a 66.6% occupancy and an ADR of $117.98. What is the property’s franchise fee (1) on a per available room basis and (2) as a percentage of rooms revenue if the agreement required the hotel to pay a reservation fee of $7.65 per available room per month; a royalty fee of 5% of rooms revenue; an advertising fee of 2.3% of rooms revenue; and a frequent traveler program fee of $5.00 per occupied room. The hotel had frequent stay guests totaling 6% of the occupied rooms. The initial fee is a minimum of $45,000 plus $300 per room for each room over 150.

1. Please use the information from Question 1 to calculate the Total franchise fee.

              Total franchise fee (round to a whole number) $ ___

2. Please use the information from Question 1 to calculate the Franchise fee on PAR basis.

             Franchise fee on PAR basis (round to two decimal places) $___ PAR/yea

3.Please use the information from Question 1 to calculate the Franchise fee as a % of revenue.

             Franchise fee as a % of revenue (round to two decimal places) ___%

In: Accounting

The Appalachian Bear Center (ABC) is a not-for-profit organization located near the Great Smoky Mountains National...

The Appalachian Bear Center (ABC) is a not-for-profit organization located near the Great Smoky Mountains National Park. ABC’s programs include the rehabilitation of orphaned and injured black bears, as well as research and education about Appalachian black bears. ABC provides the most natural environment possible for rehabilitating black bears before their release back into the wild. Katie Settlage performed a study to learn more about the Appalachian black bear population in the Great Smoky Mountains National Park. She and a team of researchers used a sample of 68 black bears in the park and took measurements such as paw size, weight, and shoulder height. Questions 2 and 3 refer to the following information regarding the shoulder height of the 28 female bears from the study. For these 28 female bears, the sample mean is 75.679 cm and the sample standard deviation is 7.592 cm. Assume the data is normally distributed and the sample is randomly selected.

3. Using an 80% level of confidence, construct the confidence interval for the population standard deviation of the shoulder heights based on the female data and make a statement interpreting these intervals.

show all work plz.

In: Statistics and Probability

1) COVID 19 has made a significant impact on the provision of hospitality guest service. As...

1) COVID 19 has made a significant impact on the provision of hospitality guest service. As a hospitality manager who is forced to adapt to the new social constructs, how can you sustain the quality of hospitality guest service to minimize physical contact? Justify your answer.
2). Reflecting on the nature or the characteristics of service, what do you think are its implications to the hospitality organizations in creating a total guest experience?
3) The service industry holds to the general notion that “the guest is always right.” However, in situations where the guest wants too much or goes too far, as rule of thumb, the hospitality manager must be able to find ways to let them know that they are wrong with dignity ensuring that in the process their self- esteem as well as their satisfaction with the guest experience and the organization are not negatively affected. So, how would you handle the given situation? A long-time guest has drunk a bit too much in your hotel bar. He is staying at the hotel that evening, he is not driving, and he insists on one more drink. He says that if the hotel refuses to serve him, he will take his business elsewhere.

In: Operations Management

Over the past six months, Six Flags conducted a marketing study on improving their park experience....

Over the past six months, Six Flags conducted a marketing study on improving their park experience. The study cost $3.00 million and the results suggested that Six Flags add a kid's only roller coaster.

Suppose that Six Flags decides to build a new roller coaster for the upcoming operating season. The depreciable equipment for the roller coaster will cost $50.00 million and an additional $5.00 million to install. The equipment will be depreciated straight-line over 20 years.

The marketing team at Six Flags expects the coaster to increase attendance at the park by 5%. This translates to 110,714.00 more visitors at an average ticket price of $39.00. Expenses for these visitors are about 12.00% of sales.

There is no impact on working capital. The average visitor spends $23.00 on park merchandise and concessions. The after-tax operating margin on these side effects is 31.00%. The tax rate facing the firm is 36.00%, while the cost of capital is 8.00%.

What is the NPV of this coaster project if Six Flags will evaluate it over a 20-year period? (Six Flags expects the first year project cash flow to grow at 5% per year, going forward)
(Express answer in millions)

In: Finance