Revenue Recognition and Ethics. The following article was
published in Newsday on February
9, 2009:
Call for Probe of Ticket Sales
Bruce Springsteen fans were victims of a “classic bait and switch”
scam by the nation’s
largest concert ticket seller, Senator Charles Schumer said
yesterday, as he called for a
federal investigation into the company, Ticketmaster. Schumer wants
the Federal Trade
Commission to look into whether the Ticketmaster website withheld
the best tickets from the
public and then shuttled fans to TicketsNow, a fully owned
subsidiary. TicketsNow had the
best seats available immediately—at sky-high prices—after
Springsteen tickets went on sales
at 10 A.M. on February 2.
A federal investigation would look into whether Ticketmaster was
instantly scalping the tickets,
never giving fans a chance to buy them at face value, Schumer said.
Customers who tried to
buy tickets originally priced at $95 on Ticketmaster’s website were
directed to TicketsNow
where they were priced at more than $2,000.
Since buying TicketsNow in February, Ticketmaster has faced similar
criticism for its handling
of Elton John tickets in Canada and numerous U.S. concert tours,
including Radiohead. Law
enforcement agencies in Connecticut and New Jersey have also
launched investigations.
Required:
a. During the course of an audit, do you believe that the auditor
should look into how revenues
are being generated? Do you think the auditors should have looked
at the business
practices of Ticketmaster?
b. Assume that Ticketmaster had properly accounted for the revenue
it received from the
Springsteen concert. Should the auditors have asked Ticketmaster to
make adjustments or
disclosures regarding its sales practices?
c. Should Ticketmaster disclose the investigations being conducted
in Connecticut and New
Jersey?
In: Accounting
The following annual per unit cost data at an activity level of 4,000 units has been provided below. The company produces and sells only one product.:
|
$ Per |
|
|
Unit |
|
|
Sales |
400.00 |
|
Direct labor |
18.00 |
|
Direct material |
22.00 |
|
Variable manufacturing overhead |
4.00 |
|
Fixed manufacturing overhead |
20.00 |
|
Variable selling expenses |
2.00 |
|
Fixed selling expenses |
5.00 |
|
Fixed administrative expenses |
3.00 |
The relevant range is 2,500 - 5,500 units. You will be given facts for three different options. Using the facts given, calculate amounts as directed below. Take each option independent of the others (start with the original information given for each).
You must enter your answer in the following format: $x,xxx
At the current level of activity, calculate the following:
Total sales revenue
Total contribution margin
Total fixed expenses
The company is considering a price reduction approach to increase net income. The company believes that a 10% reduction in sales price will increase volume by 20%. Simultaneously, there will be a change in suppliers for direct material that will result in lowering direct material costs by 15%. Calculate the following:
Total sales revenue
Total contribution margin
Total fixed expenses
The company is also considering an approach that will not alter sales price. The company believes that by laying off non-productive workers they can reduce direct labor to 4% of sales. Combined with a $4,000 increase in advertising per month, they estimate sales will increase 2% over current sales. Calculate the following:
Total sales revenue
Total contribution margin
Total fixed expenses
In: Accounting
Forecasting labour costs is a key aspect of hotel revenue management that enables hoteliers to appropriately allocate hotel resources and fix pricing strategies. Mary, the President of Hellenic Hoteliers Federation (HHF) is interested in investigating how labour costs (variable L_COST) relate to the number of rooms in a hotel (variable Total_Rooms). Suppose that HHF has hired you as a business analyst to develop a linear model to predict hotel labour costs based on the total number of rooms per hotel using the data provided. 3.1 Use the least squares method to estimate the regression coefficients b0 and b1 3.2 State the regression equation 3.3 Plot on the same graph, the scatter diagram and the regression line 3.4 Give the interpretation of the regression coefficients b0 and b1 as well as the result of the t-test on the individual variables (assume a significance level of 5%) Determine the correlation coefficient of the two variables and provide an interpretation of its meaning in the context of this problem.Check statistically, at the 0.05 level of significance whether there is any evidence of a linear relationship between labour cost and total number of rooms per hotel
| STARS | Total_Rooms | Region_ID | ARR_MAY | ARR_AUG | L_COST |
| 5 | 412 | 1 | 95 | 160 | 2.165.000 |
| 5 | 313 | 1 | 94 | 173 | 2.214.985 |
| 5 | 265 | 1 | 81 | 174 | 1.393.550 |
| 5 | 204 | 1 | 131 | 225 | 2.460.634 |
| 5 | 172 | 1 | 90 | 195 | 1.151.600 |
| 5 | 133 | 1 | 71 | 136 | 801.469 |
| 5 | 127 | 1 | 85 | 114 | 1.072.000 |
| 4 | 322 | 1 | 70 | 159 | 1.608.013 |
| 4 | 241 | 1 | 64 | 109 | 793.009 |
| 4 | 172 | 1 | 68 | 148 | 1.383.854 |
| 4 | 121 | 1 | 64 | 132 | 494.566 |
| 4 | 70 | 1 | 59 | 128 | 437.684 |
| 4 | 65 | 1 | 25 | 63 | 83.000 |
| 3 | 93 | 1 | 76 | 130 | 626.000 |
| 3 | 75 | 1 | 40 | 60 | 37.735 |
| 3 | 69 | 1 | 60 | 70 | 256.658 |
| 3 | 66 | 1 | 51 | 65 | 230.000 |
| 3 | 54 | 1 | 65 | 90 | 200.000 |
| 2 | 68 | 1 | 45 | 55 | 199.000 |
| 1 | 57 | 1 | 35 | 90 | 11.720 |
| 4 | 38 | 1 | 22 | 51 | 59.200 |
| 4 | 27 | 1 | 70 | 100 | 130.000 |
| 3 | 47 | 1 | 60 | 120 | 255.020 |
| 3 | 32 | 1 | 40 | 60 | 3.500 |
| 3 | 27 | 1 | 48 | 55 | 20.906 |
| 2 | 48 | 1 | 52 | 60 | 284.569 |
| 2 | 39 | 1 | 53 | 104 | 107.447 |
| 2 | 35 | 1 | 80 | 110 | 64.702 |
| 2 | 23 | 1 | 40 | 50 | 6.500 |
| 1 | 25 | 1 | 59 | 128 | 156.316 |
| 4 | 10 | 1 | 90 | 105 | 15.950 |
| 3 | 18 | 1 | 94 | 104 | 722.069 |
| 2 | 17 | 1 | 29 | 53 | 6.121 |
| 2 | 29 | 1 | 26 | 44 | 30.000 |
| 1 | 21 | 1 | 42 | 54 | 5.700 |
| 1 | 23 | 1 | 30 | 35 | 50.237 |
| 2 | 15 | 1 | 47 | 50 | 19.670 |
| 1 | 8 | 1 | 31 | 49 | 7.888 |
| 1 | 15 | 1 | 40 | 55 | 3.500 |
| 1 | 18 | 1 | 35 | 40 | 112.181 |
| 4 | 10 | 1 | 57 | 97 | 30.000 |
| 2 | 26 | 1 | 35 | 40 | 3.575 |
| 5 | 306 | 2 | 113 | 235 | 2.074.000 |
| 5 | 240 | 2 | 61 | 132 | 1.312.601 |
| 5 | 330 | 2 | 112 | 240 | 434.237 |
| 5 | 139 | 2 | 100 | 130 | 495.000 |
| 4 | 353 | 2 | 87 | 152 | 1.511.457 |
| 4 | 324 | 2 | 112 | 211 | 1.800.000 |
| 4 | 276 | 2 | 95 | 160 | 2.050.000 |
| 4 | 221 | 2 | 47 | 102 | 623.117 |
| 4 | 200 | 2 | 77 | 178 | 796.026 |
| 4 | 117 | 2 | 48 | 91 | 360.000 |
| 3 | 170 | 2 | 60 | 104 | 538.848 |
| 3 | 122 | 2 | 25 | 33 | 568.536 |
| 5 | 57 | 2 | 68 | 140 | 300.000 |
| 4 | 62 | 2 | 55 | 75 | 249.205 |
| 3 | 98 | 2 | 38 | 75 | 150.000 |
| 3 | 75 | 2 | 45 | 70 | 220.000 |
| 3 | 62 | 2 | 45 | 90 | 50.302 |
| 5 | 50 | 2 | 100 | 180 | 517.729 |
| 4 | 27 | 2 | 180 | 250 | 51.000 |
| 3 | 44 | 2 | 38 | 84 | 75.704 |
| 3 | 33 | 2 | 99 | 218 | 271.724 |
| 3 | 25 | 2 | 45 | 95 | 118.049 |
| 2 | 30 | 2 | 30 | 55 | 40.000 |
| 3 | 10 | 2 | 40 | 70 | 10.000 |
| 2 | 18 | 2 | 60 | 100 | 10.000 |
| 2 | 73 | 2 | 22 | 41 | 70.000 |
| 2 | 21 | 2 | 55 | 100 | 12.000 |
| 1 | 22 | 2 | 40 | 100 | 20.000 |
| 1 | 25 | 2 | 80 | 120 | 36.277 |
| 1 | 25 | 2 | 80 | 120 | 36.277 |
| 1 | 31 | 2 | 18 | 35 | 10.450 |
| 3 | 16 | 2 | 80 | 100 | 14.300 |
| 2 | 15 | 2 | 30 | 45 | 4.296 |
| 1 | 16 | 2 | 25 | 70 | 379.498 |
| 1 | 22 | 2 | 30 | 35 | 1.520 |
| 4 | 12 | 2 | 215 | 265 | 45.000 |
| 4 | 34 | 2 | 133 | 218 | 96.619 |
| 2 | 37 | 2 | 35 | 95 | 270.000 |
| 2 | 25 | 2 | 100 | 150 | 60.000 |
| 2 | 10 | 2 | 70 | 100 | 12.500 |
| 5 | 270 | 3 | 60 | 90 | 1.934.820 |
| 5 | 261 | 3 | 119 | 211 | 3.000.000 |
| 5 | 219 | 3 | 93 | 162 | 1.675.995 |
| 5 | 280 | 3 | 81 | 138 | 903.000 |
| 5 | 378 | 3 | 44 | 128 | 2.429.367 |
| 5 | 181 | 3 | 100 | 187 | 1.143.850 |
| 5 | 166 | 3 | 98 | 183 | 900.000 |
| 5 | 119 | 3 | 100 | 150 | 600.000 |
| 5 | 174 | 3 | 102 | 211 | 2.500.000 |
| 5 | 124 | 3 | 103 | 160 | 1.103.939 |
| 4 | 112 | 3 | 40 | 56 | 363.825 |
| 4 | 227 | 3 | 69 | 123 | 1.538.000 |
| 4 | 161 | 3 | 112 | 213 | 1.370.968 |
| 4 | 216 | 3 | 80 | 124 | 1.339.903 |
| 3 | 102 | 3 | 53 | 91 | 173.481 |
| 4 | 96 | 3 | 73 | 134 | 210.000 |
| 4 | 97 | 3 | 94 | 120 | 441.737 |
| 4 | 56 | 3 | 70 | 100 | 96.000 |
| 3 | 72 | 3 | 40 | 75 | 177.833 |
| 3 | 62 | 3 | 50 | 90 | 252.390 |
| 3 | 78 | 3 | 70 | 120 | 377.182 |
| 3 | 74 | 3 | 80 | 95 | 111.000 |
| 3 | 33 | 3 | 85 | 120 | 238.000 |
| 3 | 30 | 3 | 50 | 80 | 45.000 |
| 3 | 39 | 3 | 30 | 68 | 50.000 |
| 3 | 32 | 3 | 30 | 100 | 40.000 |
| 2 | 25 | 3 | 32 | 55 | 61.766 |
| 2 | 41 | 3 | 50 | 90 | 166.903 |
| 2 | 24 | 3 | 70 | 120 | 116.056 |
| 2 | 49 | 3 | 30 | 73 | 41.000 |
| 2 | 43 | 3 | 94 | 120 | 195.821 |
| 2 | 20 | 3 | 70 | 120 | 96.713 |
| 2 | 32 | 3 | 19 | 45 | 6.500 |
| 2 | 14 | 3 | 35 | 70 | 5.500 |
| 2 | 14 | 3 | 50 | 80 | 4.000 |
| 1 | 13 | 3 | 25 | 45 | 15.000 |
| 1 | 13 | 3 | 30 | 50 | 9.500 |
| 2 | 53 | 3 | 55 | 80 | 48.200 |
| 3 | 11 | 3 | 95 | 120 | 3.000 |
| 1 | 16 | 3 | 25 | 31 | 27.084 |
| 1 | 21 | 3 | 16 | 40 | 30.000 |
| 1 | 21 | 3 | 16 | 40 | 20.000 |
| 1 | 46 | 3 | 19 | 23 | 43.549 |
| 1 | 21 | 3 | 30 | 40 | 10.000 |
In: Statistics and Probability
A pilot study is run to investigate the effect of a lifestyle intervention designed to increase medication adherence in patients with HIV. Medication adherence is measured as the percentage of prescribed pills that are taken over a one-week observation period. Ten patients with HIV agree to participate and their medication adherence before and after the intervention are shown below. Compute the standard deviation of the difference in adherence before versus after intervention.
|
Participant ID |
Before Intervention |
After Intervention |
|
1 |
75% |
80% |
|
2 |
82% |
84% |
|
3 |
66% |
70% |
|
4 |
74% |
70% |
|
5 |
88% |
90% |
|
6 |
66% |
75% |
|
7 |
51% |
60% |
|
8 |
93% |
90% |
|
9 |
88% |
90% |
|
10 |
91% |
95% |
In: Statistics and Probability
“Confusion in Motion”
Patty is a 74-year-old woman who worked as a hotel custodian. She is constantly pacing the halfway with a broom, sweeping the floor as she goes. Patty has lost 14 pounds in the 3 months since her admission to the nursing home. She is unable to sit at the table long enough to eat her meals and resumes her constant walking after eating only a few bites.
What nursing diagnosis would the nurse assign to Patty’s situation?
In: Nursing
USE SAS OR R IF SOFTWARE IS NECESSARY
2 large retail companies (W and T) are compared on a Census variable, percent of people who own their home within 3 square miles of the store. The percent that own their home for W is:
84, 79, 73, 81, 74, 77, 64, 78, 78, 78, 61
Percent for T is:
58, 61, 57, 62, 61, 59, 56, 64, 61, 70.
- Estimate the difference in percent owning their home for the two companies as to central tendency using lambda=.05. In estimating the difference, use 1 parametric approach, 1 robust(trimming) or nonparametric approach, and the best bootstrapping approach(not jackknife). Make a case for which approach is best.
In: Statistics and Probability
In a statistics class, 8 students took their pulses before and after an exam. The pulse rates (beats per minute) of the students before and after the exam were obtained separately and are shown in the table. Treat this as though it were a random sample of statistics students. Test the hypothesis that the mean of statistics students' pulse rates is higher after an exam using a significance level of 0.05. Do the 5-step hypothesis test and submit an image of your work.
| Participant # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Pulse Before | 95 | 86 | 75 | 70 | 83 | 92 | 83 | 60 |
| Pulse After | 102 |
88 |
73 | 74 | 92 | 105 | 83 | 79 |
In: Statistics and Probability
Explain Malibu Boats' business model (be certain to include the value proposition and profit formula). How — if at all — has it changed over the first five years?
Information:
Jack Springer, CEO of Malibu Boats since 2010, looked out over the main production facility of Louden, Tennessee, facility. In his ten years at the helm of the Tennessee boat company, he had transitioned it from an industry leader in high-performance towboats to a diversified firm that included high-performance fishing boats. A significant facet of this transition was Malibu's 2017 purchase of Cobalt Boats for $130 million and the 2018 purchase of Pursuit Boats for $100 million. Unknown at the time of the purchase was the havoc the COVID 19 pandemic would have on the world economy and the boating industry. Springer's task this summer morning was to prepare a written assessment to present at the upcoming Board of Directors meeting. Earlier in the week, the board had requested an assessment of the Cobalt and Pursuit acquisitions in the current economic context. As he looked out on the production floor, he pondered several questions: is Malibu in a better or worse competitive position with the acquisitions? What impact will a down economy have on the future success of this acquisition? And, what had the company learned from the experience?
Malibu Boats
Headquartered in Loudon, Tennessee, Malibu Boats is a top designer, manufacturer, and marketer of a diverse range of recreational powerboats, including performance sport, sterndrive, and outboard boats (Globe Newswire, 2020).
Founded in 1982 by Bob Alkema and Steve Marshall, Malibu Boats began production averaging two boats per week. The company grew quickly and increased staffing and production. In 1986, the company implemented an employee stock ownership program and had achieved a nine percent market share by 1988. Needing to expand production, Malibu opened a second plant in Tennessee, which allowed the company to produce almost 1000 custom ski boats that year.
In 1992, Malibu built a new manufacturing facility in Loudon, Tennessee. The company's focus on innovation led it to create and patent a fiberglass engine chassis system (FibECS) that eliminated vibration and noise. In the mid-nineties, Malibu expanded internationally to Australia thorough a licensee agreement.
In the area of water sports, Malibu was on the front end of research and development of wakeboarding features. By recognizing that the wakeboarding market was a natural outgrowth of the traditional sport of water skiing, Malibu was able to capitalize on this fast-growing market (Willet, 2012).
In the early 2000's Malibu established itself as the largest custom ski boat manufacturer in the world. In 2006, Horizon Holdings and Black Canyon Capital acquired Malibu.
Unlike competitors in the industry, Malibu was able to expand market share during the Great Recession of the mid-2000s.
Jack Springer was named CEO in 2009, and under his direction, Malibu launched the Axis Wake Research brand and relocated headquarters to the firm's production facility in Loudon, Tennessee. In doing so, Malibu positioned itself closer to the freshwater marine manufacturing industry.
In 2013, Malibu established a new holding company for all operations – Malibu Boats Inc. The new entity was formed, in part, to prepare for the company's initial public offering (IPO) in January of 2014. In going public, initial trading began at $14 a share, generating a market capitalization of $300 million (Kaiser, 2014).
Malibu's International Presence
Malibu has a small but important international footprint. In the early 1990s, the company had established its brand and a manufacturing facility in Australia through a licensee agreement. After Malibu's successful IPO, the company acquired all equity interests in Malibu Boats Australia and made assurances the company would maintain its presence in that market. Malibu Boats Inc. has publicly stated that Malibu Australia may become Malibu's primary producer for the entire Asian market.
In addition, through the acquisition of Cobalt boats and its dealer network, Malibu Boats Inc. has access to locations in Canada and overseas.
Acquisition of Cobalt and Pursuit Boats
Malibu's first major acquisition was a $130 million deal to purchase competitor Cobalt Boats (Malibu Boats, Inc., 2017). The deal maintained separate manufacturing operations; Malibu in Louden, TN, and Cobalt in Neodesha, KS.
In October of 2018, Malibu Boats acquired Pursuit Boats from S2 Yachts to expand its premium brand into the fast-growing saltwater fishing boat industry. The purchase price was $100 million. In addition to expanding its brand offerings, Malibu states, "the acquisition gives the company the ability to leverage manufacturing, design expertise, and distribution to accelerate outboard growth" (Trade Only Today, 2018). Malibu will finance the $100 million purchase with $50 million in cash on hand and $50 million in credit (Boating Industry, 2018).
"Pursuit is an incredible addition to the Malibu family," said Jack Springer. "This highly complementary business creates strong strategic opportunities to enhance product development across our portfolio of brands. Together, we have an opportunity to broaden our outboard offering, while leveraging the manufacturing and design expertise of the respective teams." (Trade Only Today, 2018).
Cobalt Boats
Cobalt Boats is a market leader in mid to large-sized sterndrive boats that include cruisers, bowriders, and outboards used for cruising, skiing, entertaining, surfing, and fishing (Malibu Boats, Inc., 2017). Cobalt is a world-class brand producing 24 models across six series. The company has a dealer network of 132 locations in the U.S., Canada, and overseas. The year prior to the acquisition, Cobalt generated approximately $140 million in net sales.
Pursuit Boats
Pursuit Boats, located in Fort Pierce, Florida, builds 15 models of high-quality saltwater fishing boats in lengths of 23 to 40 feet. Pursuit has established itself as a premium brand by building high-quality offshore fishing boats for over 40 years (Boating Industry, 2018).
A2 Yachts, the original parent company of Pursuit Boats, is a privately held firm. S2 Yachts will continue to operate and own Tiarra Yachts and Tiarra Sport. Limited financial information is available on S2 Yachts as it is a privately held firm.
Malibu Today
Today, Malibu Boats is a leading designer, manufacturer, and marketer of a diverse range of powerboats across four primary brands: Malibu, Axis, Cobalt, and Pursuit (Malibu Boats, 2019). Company accolades include holding the #1 market share position in the U.S. in the performance sport boat category, the #1 market share position in the U.S. in the 24'-29’ segment of the sterndrive category, and a holding a leading market position for fiberglass outboard fishing boats (Malibu Boats, 2019). Malibu's boats are used for activities including water sports and recreational boating and fishing. Retail prices across the various models range from $60,000 - $800,000.
Competitive advantage across the brands is created by new products, a strong dealer network, and innovation. Malibu has built a distinctive competitive advantage. As an example, the Integrated Surf Platform (ISP) patented Surf Gate is an industry-leading (and envied) product. Similar to other boat brands in the industry, the dealership network is vital to the customer experience and Malibu Boats. As such, Malibu dedicates significant resources to find, develop, and improve the performance of dealerships. As of July 2019, the company's distribution channels consisted of 350 dealer locations globally. Innovation continues in 2020 with the launch of Stern Turn, which provides the driver the maneuverability of a sterndrive or outboard boat, thereby making navigation easier (Malibu Boats, 2019).
Compared to competitors, Malibu Boats has a higher degree of vertical integration. Malibu manufactures many of its own parts, including towers, stainless materials, trailers, and, more recently, engines. CEO Jack Springer builds as much as 25% more in-house compared to rival companies (Malibu Boats, 2019).
Marine Industry
Towable performance boats have been a large part of the marine industry. Malibu has long held a premium position in this industry segment. The saltwater outboard fishing market is one of the largest and fastest-growing segments of the marine industry.
Conclusion
As Springer reflected on the upcoming board meeting, he could not help but recall his optimism in the 2019 annual report. Specifically, he cited that the U.S economy was strong, consumer confidence high, inflation low, and employment high. As such, he was confident that markets would remain strong for the foreseeable future. Then, the COVID 19 Pandemic changed everything. The rosy picture he had painted for the 2020 fiscal year will look very different.
In: Operations Management
High Desert Potteryworks makes a variety of pottery products that it sells to retailers. The company uses a job-order costing system in which departmental predetermined overhead rates are used to apply manufacturing overhead cost to jobs. The predetermined overhead rate in the Molding Department is based on machine-hours, and the rate in the Painting Department is based on direct labor-hours. At the beginning of the year, the company provided the following estimates:
| Department | |||||||
| Molding | Painting | ||||||
| Direct labor-hours | 30,500 | 57,900 | |||||
| Machine-hours | 86,000 | 33,000 | |||||
| Fixed manufacturing overhead cost | $ | 240,800 | $ | 538,470 | |||
| Variable manufacturing overhead per machine-hour | $ | 2.80 | - | ||||
| Variable manufacturing overhead per direct labor-hour | - | $ | 4.80 | ||||
Job 205 was started on August 1 and completed on August 10. The company's cost records show the following information concerning the job:
| Department | |||||||
| Molding | Painting | ||||||
| Direct labor-hours | 80 | 133 | |||||
| Machine-hours | 360 | 68 | |||||
| Direct materials | $ | 942 | $ | 1,160 | |||
| Direct labor cost | $ | 700 | $ | 990 | |||
Required:
1. Compute the predetermined overhead rates used in the Molding Department and the Painting Department.
2. Compute the total overhead cost applied to Job 205.
3-a. What would be the total manufacturing cost recorded for Job 205?
3-b. If the job contained 27 units, what would be the unit product cost?
In: Accounting
High Desert Potteryworks makes a variety of pottery products that it sells to retailers. The company uses a job-order costing system in which departmental predetermined overhead rates are used to apply manufacturing overhead cost to jobs. The predetermined overhead rate in the Molding Department is based on machine-hours, and the rate in the Painting Department is based on direct labor-hours. At the beginning of the year, the company provided the following estimates:
| Department | |||||||
| Molding | Painting | ||||||
| Direct labor-hours | 33,000 | 55,900 | |||||
| Machine-hours | 83,000 | 40,000 | |||||
| Fixed manufacturing overhead cost | $ | 273,900 | $ | 553,410 | |||
| Variable manufacturing overhead per machine-hour | $ | 2.20 | - | ||||
| Variable manufacturing overhead per direct labor-hour | - | $ | 4.20 | ||||
Job 205 was started on August 1 and completed on August 10. The company's cost records show the following information concerning the job:
| Department | |||||||
| Molding | Painting | ||||||
| Direct labor-hours | 82 | 135 | |||||
| Machine-hours | 330 | 71 | |||||
| Direct materials | $ | 932 | $ | 1,280 | |||
| Direct labor cost | $ | 740 | $ | 1,000 | |||
Required:
1. Compute the predetermined overhead rates used in the Molding Department and the Painting Department.
2. Compute the total overhead cost applied to Job 205.
3-a. What would be the total manufacturing cost recorded for Job 205?
3-b. If the job contained 27 units, what would be the unit product cost?
In: Accounting