Cost Control 2: The Apex Corporation wants to improve its cost control program. Build a regression model to predict the total manufacturing cost per month (COST, measured in thousands of dollars) from the total production of paper per month in tons (PAPER), total machine hours used per month (MACHINE), total variable overhead costs per month in thousands of dollars (OVERHEAD), and the total direct labor hours used each month (LABOR). The data are contained in the worksheet named COST,HW8.
| COST | PAPER | MACHINE | OVERHEAD | LABOR |
| 1102 | 550 | 218 | 112 | 325 |
| 1008 | 502 | 199 | 99 | 301 |
| 1227 | 616 | 249 | 126 | 376 |
| 1395 | 701 | 277 | 143 | 419 |
| 1710 | 838 | 363 | 191 | 682 |
| 1881 | 919 | 399 | 210 | 751 |
| 1924 | 939 | 411 | 216 | 813 |
| 1246 | 622 | 248 | 124 | 371 |
| 1255 | 626 | 259 | 127 | 383 |
| 1314 | 659 | 266 | 135 | 402 |
| 1557 | 740 | 334 | 181 | 546 |
| 1887 | 901 | 401 | 216 | 655 |
| 1204 | 610 | 238 | 117 | 351 |
| 1211 | 598 | 246 | 124 | 370 |
| 1287 | 646 | 259 | 127 | 387 |
| 1451 | 732 | 286 | 155 | 433 |
| 1828 | 891 | 389 | 208 | 878 |
| 1903 | 932 | 404 | 216 | 660 |
| 1997 | 964 | 430 | 233 | 694 |
| 1363 | 680 | 271 | 129 | 405 |
(a) What is the sample-based model coefficient for machine hours? Hint: Be mindful of the measurement units. (Enter your answers to two decimal places.)
$ ___
(b) State the appropriate test statistic name, degrees of freedom, test statistic value, and the associated p-value (Enter your degrees of freedom as a whole number, the test statistic value to three decimal places, and the p-value to four decimal places).
t (15) = ___ , p = ___
(c) Construct a 95% confidence interval estimate of the true marginal cost associated with total machine hours. (Round your answers to three decimal places.)
( $ ___ , $ ___ )
In: Statistics and Probability
Draw a long run average cost curve, as well as several short run average cost curves if the firm has increasing economies of scale followed by decreasing economies of scale.
In: Economics
FAIR VALUE AND HISTORICAL COST ACCOUNTING
- Discuss three challenges of historical cost measurement
CONTROLLERSHIP
-Discuss three major challenges facing controllers today
-Discuss three ways in which controllership have changed in the past 100 years
SOCIAL ROLE OF ACCOUNTANCY
-Discuss three major social roles of accountancy
ROLE OF GOVERNMENT IN STANDARD SETTING
-Why do governments intervene in setting accounting standards instead of leaving it to the private sector?
In: Accounting
Historical Cost Historical cost has been the most commonly used measurement attribute for assets. Find the places in the FASB ASC that cite historical cost. Looking for FASB ASC section number.
In: Accounting
In the book Advanced Managerial Accounting, Robert P.
Magee discusses monitoring cost variances. A cost variance
is the difference between a budgeted cost and an actual cost. Magee
describes the following situation:
Michael Bitner has responsibility for control of two
manufacturing processes. Every week he receives a cost variance
report for each of the two processes, broken down by labor costs,
materials costs, and so on. One of the two processes, which we'll
call process A , involves a stable, easily controlled
production process with a little fluctuation in variances. Process
B involves more random events: the equipment is more
sensitive and prone to breakdown, the raw material prices fluctuate
more, and so on.
"It seems like I'm spending more
of my time with process B than with process A,"
says Michael Bitner. "Yet I know that the probability of an
inefficiency developing and the expected costs of inefficiencies
are the same for the two processes. It's just the magnitude of
random fluctuations that differs between the two, as you can see in
the information below."
"At present, I investigate
variances if they exceed $2,789, regardless of whether it was
process A or B. I suspect that such a policy is
not the most efficient. I should probably set a higher limit for
process B."
The means and standard deviations of the cost variances of
processes A and B, when these processes are in
control, are as follows: (Round your z value to 2 decimal
places and final answers to 4 decimal places.):
| Process A | Process B | |
| Mean cost variance (in control) | $ 5 | $ 0 |
| Standard deviation of cost variance (in control) | $5,105 | $10,342 |
Furthermore, the means and standard deviations of the cost
variances of processes A and B, when these
processes are out of control, are as follows:
| Process A | Process B | |
| Mean cost variance (out of control) | $7,048 | $ 6,130 |
| Standard deviation of cost variance (out of control) | $5,105 | $10,342 |
(a) Recall that the current policy is to investigate a cost variance if it exceeds $2,789 for either process. Assume that cost variances are normally distributed and that both Process A and Process B cost variances are in control. Find the probability that a cost variance for Process A will be investigated. Find the probability that a cost variance for Process B will be investigated. Which in-control process will be investigated more often.
| Process A | ||
| Process B | ||
(Click to select)Process AProcess B is investigated more often
(b) Assume that cost variances are normally
distributed and that both Process A and Process B
cost variances are out of control. Find the probability that a cost
variance for Process A will be investigated. Find the
probability that a cost variance for Process B will be
investigated. Which out-of-control process will be investigated
more often.
| Process A | ||
| Process B | ||
(Click to select)Process AProcess B is investigated more often.
(c) If both Processes A and B
are almost always in control, which process will be investigated
more often.
(Click to select)Process AProcess B will be investigated more
often.
(d) Suppose that we wish to reduce the probability
that Process B will be investigated (when it is in
control) to .2912. What cost variance investigation policy should
be used? That is, how large a cost variance should trigger an
investigation? Using this new policy, what is the probability that
an out-of-control cost variance for Process B will be
investigated?
| k | |
| P(x > 5,688) | |
In: Statistics and Probability
In the book Advanced Managerial Accounting, Robert P.
Magee discusses monitoring cost variances. A cost variance
is the difference between a budgeted cost and an actual cost. Magee
describes the following situation:
Michael Bitner has responsibility for control of two
manufacturing processes. Every week he receives a cost variance
report for each of the two processes, broken down by labor costs,
materials costs, and so on. One of the two processes, which we'll
call process A , involves a stable, easily controlled
production process with a little fluctuation in variances. Process
B involves more random events: the equipment is more
sensitive and prone to breakdown, the raw material prices fluctuate
more, and so on.
"It seems like I'm spending more
of my time with process B than with process A,"
says Michael Bitner. "Yet I know that the probability of an
inefficiency developing and the expected costs of inefficiencies
are the same for the two processes. It's just the magnitude of
random fluctuations that differs between the two, as you can see in
the information below."
"At present, I investigate
variances if they exceed $2,789, regardless of whether it was
process A or B. I suspect that such a policy is
not the most efficient. I should probably set a higher limit for
process B."
The means and standard deviations of the cost variances of
processes A and B, when these processes are in
control, are as follows: (Round your z value to 2 decimal
places and final answers to 4 decimal places.):
| Process A | Process B | |
| Mean cost variance (in control) | $ 5 | $ 0 |
| Standard deviation of cost variance (in control) | $5,105 | $10,342 |
Furthermore, the means and standard deviations of the cost
variances of processes A and B, when these
processes are out of control, are as follows:
| Process A | Process B | |
| Mean cost variance (out of control) | $7,048 | $ 6,130 |
| Standard deviation of cost variance (out of control) | $5,105 | $10,342 |
(a) Recall that the current policy is to investigate a cost variance if it exceeds $2,789 for either process. Assume that cost variances are normally distributed and that both Process A and Process B cost variances are in control. Find the probability that a cost variance for Process A will be investigated. Find the probability that a cost variance for Process B will be investigated. Which in-control process will be investigated more often.
| Process A | ||
| Process B | ||
(Click to select)Process AProcess B is investigated more often
(b) Assume that cost variances are normally
distributed and that both Process A and Process B
cost variances are out of control. Find the probability that a cost
variance for Process A will be investigated. Find the
probability that a cost variance for Process B will be
investigated. Which out-of-control process will be investigated
more often.
| Process A | ||
| Process B | ||
(Click to select)Process AProcess B is investigated more often.
(c) If both Processes A and B
are almost always in control, which process will be investigated
more often.
(Click to select)Process BProcess A will be investigated more
often.
(d) Suppose that we wish to reduce the probability
that Process B will be investigated (when it is in
control) to .2912. What cost variance investigation policy should
be used? That is, how large a cost variance should trigger an
investigation? Using this new policy, what is the probability that
an out-of-control cost variance for Process B will be
investigated?
| k | |
| P(x > 5,688) | |
In: Statistics and Probability
Total Cost Concept of Product Costing
Willis Products Inc. uses the total cost concept of applying the cost-plus approach to product pricing. The costs of producing and selling 5,000 units of medical tablets are as follows:
| Variable costs per unit: | Fixed costs: | ||||||
| Direct materials | $120 | Factory overhead | $205,000 | ||||
| Direct labor | 44 | Selling and admin. exp. | 70,000 | ||||
| Factory overhead | 37 | ||||||
| Selling and admin. exp. | 29 | ||||||
| Total | $230 | ||||||
Willis Products desires a profit equal to a 20% rate of return on invested assets of $733,875.
a. Determine the amount of desired profit from
the production and sale of 5,000 units.
$ 146,775
b. Determine the total costs for the production of 5,000 units.
| Variable | $ 1,150,000 |
| Fixed (Need help) | |
| Total | $ (Need help) |
Determine the cost amount per unit for the production and sale
of 5,000 units.
$ per unit
c. Determine the total cost markup percentage
per unit. (rounded to one decimal place).
%
d. Determine the selling price per unit. Round
to the nearest cent.
$ per unit
In: Accounting
Cost Flows in a Job Cost System
| Materials | Work in Process-Assembly Dept | Work in Process- Test & Packaging Dept | Finished Goods | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|
|
|
|
|
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|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Factory Overhead | ||||||||||||||||||||||||||
|
||||||||||||||||||||||||||
Costs to date by job are shown.
| Source: Job Cost Sheets: | ||||||||
| Job#1 | Job#2 | Job#3 | Job#4 | |||||
| Direct materials | $ | 739 | $ | 622 | $ | 426 | $ | 367 |
| Direct labor | 99 | 82 | 73 | 119 | ||||
| Overhead | 146 | 146 | 126 | 158 | ||||
| $ | 984 | $ | 850 | $ | 625 | $ | 644 | |
Use the flow chart to complete the following sentences.
The ending inventory balance in the Work in Process-Assembly Dept is $
The cost of goods transferred into the Work in Process-Test & Packaging Dept is $
The cost of goods transferred out of the Work in Process- Test & Packaging Dept is $
The ending inventory balance in the Work in Process- Test & Packaging Dept is $
In: Accounting
Cost Behavior Analysis in a Restaurant: High-Low Cost
Estimation
Assume a Papa John's restaurant has the following information
available regarding costs at representative levels of monthly
sales:
| Monthly sales in units | |||
| 5,000 | 8,000 | 10,000 | |
| Cost of food sold | $10,000 | $16,000 | $20,000 |
| Wages and fringe benefits | 4,200 | 4,320 | 4,400 |
| Fees paid delivery help | 1,100 | 1,760 | 2,200 |
| Rent on building | 1,100 | 1,100 | 1,100 |
| Depreciation on equipment | 900 | 900 | 900 |
| Utilities | 800 | 920 | 1,000 |
| Supplies (soap, floor wax, etc.) | 250 | 340 | 400 |
| Administrative costs | 1,700 | 1,700 | 1,700 |
| Total | $20,050 | $27,040 | $31,700 |
(a) Identify each cost as being variable, fixed, or mixed.
Cost of food sold
AnswerVariableFixedMixed
Wages and fringe benefits
AnswerVariableFixedMixed
Fees paid delivery help
AnswerVariableFixedMixed
Rent on building
AnswerVariableFixedMixed
Depreciation on equipment
AnswerVariableFixedMixed
Utilities
AnswerVariableFixedMixed
Supplies (soap, floor wax, etc.)
AnswerVariableFixedMixed
Administrative costs
AnswerVariableFixedMixed
(b) Use the high-low method to develop a schedule identifying the
amount of each cost that is fixed per month or variable per unit.
Total the amounts under each category to develop an equation for
total monthly costs.
Round variable cost answers to two decimal places.
| Fixed Costs | Variable Costs | |
|---|---|---|
| Cost of food sold | Answer | Answer |
| Wages and fringe benefits | Answer | Answer |
| Fees paid delivery help | Answer | Answer |
| Rent on building | Answer | Answer |
| Depreciation on equipment | Answer | Answer |
| Utilities | Answer | Answer |
| Supplies (soap, floor wax, etc.) | Answer | Answer |
| Administrative costs | Answer | Answer |
| Total costs equation | Answer | Answer |
(c) Predict total costs for a monthly sales volume of 9,800
units.
$Answer
In: Accounting
In the book Advanced Managerial Accounting, Robert P.
Magee discusses monitoring cost variances. A cost variance
is the difference between a budgeted cost and an actual cost. Magee
describes the following situation:
Michael Bitner has responsibility for control of two
manufacturing processes. Every week he receives a cost variance
report for each of the two processes, broken down by labor costs,
materials costs, and so on. One of the two processes, which we'll
call process A , involves a stable, easily controlled
production process with a little fluctuation in variances. Process
B involves more random events: the equipment is more
sensitive and prone to breakdown, the raw material prices fluctuate
more, and so on.
"It seems like I'm spending more
of my time with process B than with process A,"
says Michael Bitner. "Yet I know that the probability of an
inefficiency developing and the expected costs of inefficiencies
are the same for the two processes. It's just the magnitude of
random fluctuations that differs between the two, as you can see in
the information below."
"At present, I investigate
variances if they exceed $2,931, regardless of whether it was
process A or B. I suspect that such a policy is
not the most efficient. I should probably set a higher limit for
process B."
The means and standard deviations of the cost variances of
processes A and B, when these processes are in
control, are as follows: (Round your z value to 2 decimal
places and final answers to 4 decimal places.):
| Process A | Process B | |
| Mean cost variance (in control) | $ 0 | $ 0 |
| Standard deviation of cost variance (in control) | $5,271 | $10,270 |
Furthermore, the means and standard deviations of the cost
variances of processes A and B, when these
processes are out of control, are as follows:
| Process A | Process B | |
| Mean cost variance (out of control) | $7,400 | $ 7,381 |
| Standard deviation of cost variance (out of control) | $5,271 | $10,270 |
(a) Recall that the current policy is to investigate a cost variance if it exceeds $2,931 for either process. Assume that cost variances are normally distributed and that both Process A and Process B cost variances are in control. Find the probability that a cost variance for Process A will be investigated. Find the probability that a cost variance for Process B will be investigated. Which in-control process will be investigated more often.
(b) Assume that cost variances are normally distributed and that both Process A and Process B cost variances are out of control. Find the probability that a cost variance for Process A will be investigated. Find the probability that a cost variance for Process B will be investigated. Which out-of-control process will be investigated more often.
(c) If both Processes A and B are almost always in control, which process will be investigated more often.
(d) Suppose that we wish to reduce the probability that Process B will be investigated (when it is in control) to .2877. What cost variance investigation policy should be used? That is, how large a cost variance should trigger an investigation? Using this new policy, what is the probability that an out-of-control cost variance for Process B will be investigated?
In: Statistics and Probability