Questions
On May 1, 2021, Hecala Mining entered into an agreement with the state of New Mexico to obtain the rights to operate a mineral mine in New Mexico for $10 million.

On May 1, 2021, Hecala Mining entered into an agreement with the state of New Mexico to obtain the rights to operate a mineral mine in New Mexico for $10 million. Additional costs and purchases included the following: 

Development costs in preparing the mine.........................$3,200,000 

Mining equipment.............................................................................140,000 

Construction of various structures on site....................................68,000 

After the minerals are removed from the mine, the equipment will be sold for an estimated residual value of $10,000. The structures will be torn down. Geologists estimate that 800,000 tons of ore can be extracted from the mine. After the ore is removed the land will revert back to the state of New Mexico. 

The contract with the state requires Hecala to restore the land to its original condition after mining operations are completed in approximately four years. Management has provided the following possible outflows for the restoration costs: 

Cash Outflow................Probability 

$600,000................................30%   

700,000..................................30%   

800,000.................................40% 

Hecala’s credit-adjusted risk-free interest rate is 8%. During 2021, Hecala extracted 120,000 tons of ore from the mine. The company’s fiscal year ends on December 31. 

 

Required: 

1. Determine the amount at which Hecala will record the mine. 

2. Calculate the depletion of the mine and the depreciation of the mining facilities and equipment for 2021, assuming that Hecala uses the units-of-production method for both depreciation and depletion. Round depletion and depreciation rates to four decimals. 

3. How much accretion expense will the company record in its income statement for the 2021 fiscal year? 

4. Are depletion of the mine and depreciation of the mining facilities and equipment reported as separate expenses in the income statement? Discuss the accounting treatment of these items in the income statement and balance sheet. 

5. During 2022, Hecala changed its estimate of the total amount of ore originally in the mine from 800,000 to 1,000,000 tons. Briefly describe the accounting treatment the company will employ to account for the change and calculate the depletion of the mine and depreciation of the mining facilities and equipment for 2022 assuming Hecala extracted 150,000 tons of ore in 2022.

 

 

In: Chemistry

The company produces seats for auto, vans, trucks, and boats. The company has several plants, including...

The company produces seats for auto, vans, trucks, and boats. The company has several plants,
including the New Jersey plant, which makes car covers.
Goodman is the plant manager at the New Jersey plant but also serves as the production manager.
Goodman has just heard that Rutgers company has received a bid from an outside vendor to
offer the same amount of the entire annual output of the New Jersey plant for $21 million.
Goodman was surprised at the low outside bid due to that the
budget for the New Jersey Plant's operating costs for the coming year was set at $24.3 million.
if this bid is accepted by the plant, the New Jersey plant will go out of bankruptcy.
The budget for the New Jersy plant's operating costs for the next year is below.
Additional information is given as follows.
1. Due to the New Jersey plant prefer high-quality for all products, the purchasing department prefers to place orders of good
materials for the coming year. If these orders are canceled as consequence of the plant closing, termination fees would
amount to 25% of the cost of direct materials.
2. Around 350 employees will become unemployed if the plant is closed, which contain all of the direct laborers and supervisors, management and staff, and the plumbers, electricians, and other skilled workers classified as indirect plant workers.
Some of the workers would have difficulty finding new jobs. Nearly all the production labors would have difficulty matching the New Jersey plant at $12.5 per hour, which is the highest. Rutgers Company should provide some assistance and job training to its former employees for 12 months after closing a plant. The estimated fees for this service would be $0.8 million.
3. Some employees might choose early retirement because Rutgers Company has a good pension plan.
Actually, $0.7 million of the annual pension expense would continue whether the New Jersey plant is open or not
4. Goodman and his coworkers would not be affected by the closing of the New Jersey plant, they would still be responsible for three other area plants
5. If the New Jersey plant were closed, Rutgers Company would realize about $2 million salvage value for the equipment in the plant. If the plant remains open, there are no plans to make any significant investments in new equipment or buildings. The old equipment is adequate for the job and should last indefinitely.
New Jersey Plant
The annual budget for costs
Materials $80,000,000.00
Labor:
Direct $6,700,000.00
Supervison $400,000.00
Indirect Plant $1,900,000.00 $9,000,000.00
MOH:
Deprecation for equipments $1,300,000.00
Deprecation for buildings $2,100,000.00
Pension expense $1,600,000.00
Plant manager and staff $600,000.00
Corporate expense $1,700,000.00 $7,300,000.00
Total $24,300,000.00
*Fixed expenses are allocated to plants and other operating units based on total budgeted wage and salary costs.
Questions:
1.Without regard to costs, find the merits to Rutgers Company of continuing to obtain products from the New Jersey plant.
2. Company is about to prepare a financial analysis that will be used in
deciding whether or not to close the New Jersey Plant. CEO has asked you to pay attention to items:
a.Show the annual budgeted costs to make the decision about the closing of the New Jersey plant.
b.Present the annual budgeted costs that are not relevant to the decision regarding the closing of New Jersey the
plant and explain why they are not relevant.
c.There are nonrecurring costs that would arise due to the closing of the plant and please explain how
they would affect the decision.
3.Please refer to the data you have prepared in (2) above, do you think the New Jersey plant be closed? Show
computations and please explain your answer.
4.Please find any sales revenues or costs not specifically provided in the information that Rutgers Compnay should consider before making a decision.
5.What suggestions do you think about reducing the costs?

In: Accounting

The Merger of Kmart & Sears As the engineer of the $11.5 billion planned purchase of...

The Merger of Kmart & Sears

As the engineer of the $11.5 billion planned purchase of Sears, Roebuck & Co. by Kmart Holding Corp.,

Edward Lampert is stepping out of the shadows of Wall Street to make a highprofile bet that the

fortunes of not just one but two retailing giants can be turned around. He keeps his strategy close to the

vest, and his fortune is uncertain, though it was estimated at $2 billion ahead of the acquisition news.

Mr. Lampert’s hedgefund firm, ESL Investments inc., which owns 43 million shares of Kmart, and 31

million shares of Sears, recorded paper gains of nearly $600 million in the wake of the takeover news.

He knew that was a spectacular oneday return given that market interest rates were 6%.

Shortsellers have been wary of Kmart ever since it emerged from bankruptcy in early May 2003. After

Mr. Lampert bought up some $1 billion of Kmart’s distressed debt in 2002, he kicked off an aggressive

restructuring campaign that included closing stores and selling off real estate to competitors. Investors

were so enamored of his results that they helped to double Kmart’s stock price in the past 18 months

from $58 per share to the current value of $120 per share.

The SEC filing also included a new employment contract for Sears chief executive Alan Lacy, who is

slated to be CEO and vice chairman of the combined company, Sears Holdings Corp. Under the

employment pact, which runs for 5 years after the merger’s effective date, Lacy is entitled to a minimum

base salary of $1.5 million a year and a target annual bonus of 150% of the base salary.

An acquirer’s brand typically is the one that goes forward, but companies have been known to flout the

rule based on whose brand is stronger in the marketplace. When Nations Bank bought Bank of America,

the merged company took the Bank of America name and rebranded all the Nations Bank branches.

Asked to comment on the Kmart / Sears deal, an analyst said “I don’t think the combined company will

be a much more significant challenge to WalMart. Consumers think that when they want price they go

to WalMart. When they want value – a little fashion – they go to Target.” After hearing this, Mr.

Lampert began to wonder if he had made the correct decision. “I wonder,” he thought to himself,

“would I have been better off buying Target instead?” Although it was too late, he began to look at the

financials for Target to see if he would have been better off buying Target.

Income Statements – January 31, 2004
Wal-Mart Kmart Sears Target
Sales 258,681,000 23,253,000 41,124,000 48,163,000
Cost of Sales 198,747,000 17,846,000 26,231,000 31,790,000
Gross_Profit 59,934,000 5,407,000 14,893,000 16,373,000
Administrative_Expenses 44,909,000 4,998,000 9,111,000 11,534,000
EBIT 15,025,000 409,000 5,782,000 4,839,000
Interest 996,000 162,000 1,025,000 559,000
Taxes (@ 35 %) 4,910,150 86,450 1,664,950 1,498,000
Net Income 9,118,850 160,550 3,092,050 2,782,000
Balance Sheets as at January 31, 2004
Wal-Mart Kmart Sears Target
Cash_and_cash_equivalents 5,199,000 2,088,000 9,057,000 816,000
Receivables 1,254,000 301,000 3,397,000 5,776,000
Inventory 26,612,000 3,238,000 5,335,000 5,373,000
Total_Current_Assets 33,065,000 5,627,000 17,789,000 11,965,000
Property,_Plant_&_Equip. 58,530,000 153,000 6,788,000 16,969,000
Other_Assets 6,079,000 120,000 908,000 1,495,000
Total_Assets 97,674,000 5,900,000 25,485,000 30,429,000
Accounts_Payable 31,051,000 1,772,000 7,582,000 7,448,000
Other_current_Liabilities 6,367,000 1,050,000 5,194,000 866,000
Total_current_liabilities 37,418,000 2,822,000 12,776,000 8,314,000
Long_term_Debt 20,099,000 2,297,000 4,718,000 10,217,000
Common_stock 431,000 208,000 823,000 96,000
Retained_Earnings 39,726,000 573,000 7,168,000 11,802,000
Total_Liabilities_&_Equity 97,674,000 5,900,000 25,485,000 30,429,000

Questions you should consider in reviewing the case:

1. How could we find the greatest underperforming area for any of the firms?

In: Finance

Is the national crime rate really going down? Some sociologists say yes! They say that the...

Is the national crime rate really going down? Some sociologists say yes! They say that the reason for the decline in crime rates in the 1980s and 1990s is demographics. It seems that the population is aging, and older people commit fewer crimes. According to the FBI and the Justice Department, 70% of all arrests are of males aged 15 to 34 years†. Suppose you are a sociologist in Rock Springs, Wyoming, and a random sample of police files showed that of 38 arrests last month, 24 were of males aged 15 to 34 years. Use a 10% level of significance to test the claim that the population proportion of such arrests in Rock Springs is different from 70%.

(a) What is the level of significance?


State the null and alternate hypotheses.

H0: p = 0 .7; H1: p < 0.7H0: p = 0.7; H1: p > 0.7    H0: p < 0 .7; H1: p = 0.7H0: p = 0.7; H1: p ≠ 0.7H0: p ≠ 0.7; H1: p = 0.7


(b) What sampling distribution will you use?

The standard normal, since np > 5 and nq > 5.The Student's t, since np < 5 and nq < 5.    The Student's t, since np > 5 and nq > 5.The standard normal, since np < 5 and nq < 5.


What is the value of the sample test statistic? (Round your answer to two decimal places.)


(c) Find the P-value of the test statistic. (Round your answer to four decimal places.)


Sketch the sampling distribution and show the area corresponding to the P-value.


(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α?

At the α = 0.10 level, we reject the null hypothesis and conclude the data are statistically significant.At the α = 0.10 level, we reject the null hypothesis and conclude the data are not statistically significant.    At the α = 0.10 level, we fail to reject the null hypothesis and conclude the data are statistically significant.At the α = 0.10 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.


(e) Interpret your conclusion in the context of the application.

There is sufficient evidence at the 0.10 level to conclude that the true proportion of arrests of males aged 15 to 34 in Rock Springs differs from 70%.There is insufficient evidence at the 0.10 level to conclude that the true proportion of arrests of males aged 15 to 34 in Rock Springs differs from 70%.    

In: Statistics and Probability

Is the national crime rate really going down? Some sociologists say yes! They say that the...

Is the national crime rate really going down? Some sociologists say yes! They say that the reason for the decline in crime rates in the 1980s and 1990s is demographics. It seems that the population is aging, and older people commit fewer crimes. According to the FBI and the Justice Department, 70% of all arrests are of males aged 15 to 34 years†. Suppose you are a sociologist in Rock Springs, Wyoming, and a random sample of police files showed that of 36 arrests last month, 25 were of males aged 15 to 34 years. Use a 10% level of significance to test the claim that the population proportion of such arrests in Rock Springs is different from 70%.

(a) What is the level of significance?


State the null and alternate hypotheses.

H0: p = 0.7; H1: p ≠ 0.7H0: p < 0 .7; H1: p = 0.7    H0: p = 0 .7; H1: p < 0.7H0: p = 0.7; H1: p > 0.7H0: p ≠ 0.7; H1: p = 0.7


(b) What sampling distribution will you use?

The Student's t, since np > 5 and nq > 5.The standard normal, since np < 5 and nq < 5.    The standard normal, since np > 5 and nq > 5.The Student's t, since np < 5 and nq < 5.


What is the value of the sample test statistic? (Round your answer to two decimal places.)


(c) Find the P-value of the test statistic. (Round your answer to four decimal places.)


Sketch the sampling distribution and show the area corresponding to the P-value.



(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α?

At the α = 0.10 level, we reject the null hypothesis and conclude the data are statistically significant.At the α = 0.10 level, we reject the null hypothesis and conclude the data are not statistically significant.    At the α = 0.10 level, we fail to reject the null hypothesis and conclude the data are statistically significant.At the α = 0.10 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.


(e) Interpret your conclusion in the context of the application.

There is sufficient evidence at the 0.10 level to conclude that the true proportion of arrests of males aged 15 to 34 in Rock Springs differs from 70%.There is insufficient evidence at the 0.10 level to conclude that the true proportion of arrests of males aged 15 to 34 in Rock Springs differs from 70%.    

  

In: Statistics and Probability

PART 1 You are studying the following regression on earnings of a CEO:    Earnings)= 3.86...

PART 1

You are studying the following regression on earnings of a CEO:   

Earnings)= 3.86 - 0.28Female + 0.37MarketValue + 0.004Return

You wonder whether any of the independant variables should be introduced in the model in a nonlinear fashion instead. Right now, they are all present in their original form. Which variables must you test to see if a nonlinear version of them is better suited?

       
A. Earnings, Female, MarketValue, Returns

       
B. Earnings, MarketValue, Returns

       
C. Female, MarketValue, Return

       
D. MarketValue, Returns

PART 2

"A standard ""money demand"" function used by macroeconomists has the form ln(m) = Beta0 + Beta1 ln(GDP) + Beta2 R, Where m is the quantity of (real) money, GDP is the value of (real) gross domestic product, and R is the value of the nominal interest rate measured in percent per year. Supposed that Beta 1 = 1.05 and Beta 2 = -0.03. What is the expected change in m if the interest rate increases from 5% to 9%? Round to nearest integer"

       
A. decrease 12%

       
B. decrease 9%

       
C. increase 12%

       
D. "decrease $7,387"

PART 3

"This problem is inspired by a study of the ""gender gap"" in earnings in top corporate jobs [Bertrand and Hallock (2001)]. The study compares total compensation among top executives in a large set of U.S. public corporations in the 1990s. (Each year these publicly traded corporations must report total compensation levels for their top five executives.) Let Female be an indicator variable that is equal to 1 for females and 0 for males. A regression of the logarithm of earnings onto Female yields ln(Earnings) = 6.55 -0.41Female, SER = 2.44. The Standard Errors for the Constant is (0.01) and for the Female variable is (0.05). The SER tells us all of the following, except:"

       
A. The Standard Error of the regression

       
B. The % of the variance in Earnings we have explained

       
C. The standard deviation of the regression error

       
D. The square root of the variance of the residuals

PART 4

"Assume that you had estimated the following quadratic regression model: Test Score = 607.3 + 3.85Income - 0.0423Income2. If income is in thousands, please interpret the coefficient on the Income2 term:"

      
A. Cannot interpret that coefficient alone

       
B. A 1 unit increase in income is associated with a 0.0423 points decrease in TestScores

       
C. "A $1,000 increase in income is associated with a 0.0423 points decrease in TestScores"

       
D. "A $1,000 increase in income is associated with a 4.23 % decrease in TestScores"

In: Economics

Is the national crime rate really going down? Some sociologists say yes! They say that the...

Is the national crime rate really going down? Some sociologists say yes! They say that the reason for the decline in crime rates in the 1980s and 1990s is demographics. It seems that the population is aging, and older people commit fewer crimes. According to the FBI and the Justice Department, 70% of all arrests are of males aged 15 to 34 years†. Suppose you are a sociologist in Rock Springs, Wyoming, and a random sample of police files showed that of 39 arrests last month, 29 were of males aged 15 to 34 years. Use a 5% level of significance to test the claim that the population proportion of such arrests in Rock Springs is different from 70%.

(a) What is the level of significance?

State the null and alternate hypotheses.

H0: p = 0.7; H1: p ≠ 0.7H0: p < 0 .7; H1: p = 0.7    H0: p = 0.7; H1: p > 0.7H0: p = 0 .7; H1: p < 0.7H0: p ≠ 0.7; H1: p = 0.7

(b) What sampling distribution will you use?

The Student's t, since np > 5 and nq > 5.The standard normal, since np > 5 and nq > 5.    The Student's t, since np < 5 and nq < 5.The standard normal, since np < 5 and nq < 5.

What is the value of the sample test statistic? (Round your answer to two decimal places.)

(c) Find the P-value of the test statistic. (Round your answer to four decimal places.)

Sketch the sampling distribution and show the area corresponding to the P-value.

(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α?

At the α = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant.At the α = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant.    At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant.At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

(e) Interpret your conclusion in the context of the application.

There is sufficient evidence at the 0.05 level to conclude that the true proportion of arrests of males aged 15 to 34 in Rock Springs differs from 70%.There is insufficient evidence at the 0.05 level to conclude that the true proportion of arrests of males aged 15 to 34 in Rock Springs differs from 70%.    


In: Statistics and Probability

This passage below require analysis and breakdown Sassan Chakanian was interviewed in 1996 regarding the project...

This passage below require analysis and breakdown








Sassan Chakanian was interviewed in 1996 regarding the project planning and systems that Maxwell Technologies, Inc. offered during this time. According the Williams and Hart (1996) this interview provided a great understanding to the need of job-costing system as this time and even as early as the 1960s. Chakanian provided a great overview in the interview of the origins of Maxwell Technologies focusing primarily on government contracts, geared to defense-related business. This shifted in the 1990s to commercial business and civil industries providing a more “client /server job costing system” (Williams and Hart, 1996). He explains the JAMIS (Job Cost Account and Management Information System) which began in the late 1970s because at the time there was a great need and nothing on the market (Williams and Hart, 1996).
According the Chakanian the need for JAMIS was viable the government needed more sufficient data and finance management and civil business leader such as CFOs could clearly see the job costs without overwhelming the general ledger. He gives a great example of how the system works, the description is very basic, working in present time taking the input of time cards for instance. He explains the simultaneous transactions to both the general ledger and to the job cost module. While the one transaction is needed for both areas the detail that is equated is specific to the need of the bottom line and the cost of that job, as performed by labor hours ( Williams and Hart, 1996). He continues in the interview to explain while they have very specific software selecting the right software for the project is key to desired functionality (Williams and Hart, 1996).
Reaction:
This interview was very helpful for me to better understand where or how job-cost systems were derived. You can see in the 1960s some of technology was or data management was in place, primarily for defense purposes. Then in the late 70s the civil business had a need growing the need for job-costing software. I appreciate the tone of the interview; Chakanian feels this is an important tool, even a necessity for accurate data and financial analysis. The information throughout the interview, explains the product, Maxwell Technologies, Inc, and JAMIS. This is informative and persuasive, however Chakanian clearly reminds us having the right software for the project or job is key to the success of both the project and cost management. I appreciate the format of the article giving some background on the interviewee and the company, it further connect the reader to the service of the organization, not just the business or technology.

critically summarise the passage

In: Operations Management

Discuss the impact on the parent's investment account when thesubsidiary issues new shares and either...

Discuss the impact on the parent's investment account when the subsidiary issues new shares and either the new shares are purchased ratably by the parent and noncontrolling shareholders?

In: Accounting

If a business builds a new manufacturing plant, is it possible to increase the rate of...

If a business builds a new manufacturing plant, is it possible to increase the rate of depreciation on the new facility and equipment? Does this need to be done equally each year?

In: Finance