Flexible Budgeting and Variance Analysis
I Love My Chocolate Company makes dark chocolate and light chocolate. Both products require cocoa and sugar. The following planning information has been made available:
Standard Amount per Case
Dark Chocolate Light Chocolate Standard Price per Pound
Cocoa 9 lbs. 6 lbs. $4.40
Sugar 7 lbs. 11 lbs. 0.60
Standard labor time 0.3 hr. 0.4 hr.
Dark Chocolate Light Chocolate
Planned production 5,500 cases 10,400 cases
Standard labor rate $15.50 per hr. $15.50 per hr.
I Love My Chocolate Company does not expect there to be any beginning or ending inventories of cocoa or sugar. At the end of the budget year, I Love My Chocolate Company had the following actual results:
Dark Chocolate Light Chocolate
Actual production (cases) 5,200 10,800
Actual Price per Pound Actual Pounds Purchased and Used
Cocoa $4.50 112,200
Sugar 0.55 151,300
Actual Labor Rate Actual Labor Hours Used
Dark chocolate $15.00 per hr. 1,420
Light chocolate 16.00 per hr. 4,430 Required:
1. Prepare the following variance analyses for both chocolates and the total, based on the actual results and production levels at the end of the budget year:
a. Direct materials price variance, direct materials quantity variance, and total variance.
b. Direct labor rate variance, direct labor time variance, and total variance.
Enter a favorable variance as a negative number using a minus sign and an unfavorable variance as a positive number.
a. Direct materials price variance $ ?? Unfavorable
Direct materials quantity variance $ ?? Unfavorable
Total direct materials cost variance $ ?? Unfavorable
b. Direct labor rate variance $ ?? Unfavorable
Direct labor time variance $ ?? Favorable
Total direct labor cost variance $ ?? Unfavorable
2. The variance analyses should be based on the standard amounts at actual volumes. The budget must flex with the volume changes. If the actual volume is different from the planned volume, as it was in this case, then the budget used for performance evaluation should reflect the change in direct materials and direct labor that will be required for the actual production. In this way, spending from volume changes can be separated from efficiency and price variances.
In: Accounting
Miller Toy Company manufactures a plastic swimming pool at its Westwood Plant. The plant has been experiencing problems as shown by its June contribution format income statement below:
| Flexible Budget | Actual | ||||||
| Sales (8,000 pools) | $ | 265,000 | $ | 265,000 | |||
| Variable expenses: | |||||||
| Variable cost of goods sold* | 88,960 | 106,490 | |||||
| Variable selling expenses |
16,000 |
16,000 | |||||
| Total variable expenses |
104,960 |
122,490 | |||||
| Contribution margin |
160,040 |
142,510 | |||||
| Fixed expenses: | |||||||
| Manufacturing overhead | 65,000 | 65,000 | |||||
| Selling and administrative | 80,000 | 80,000 | |||||
| Total fixed expenses |
145,000 |
145,000 | |||||
| Net operating income (loss) | $ | 15,040 | $ |
(2,490 |
) | ||
*Contains direct materials, direct labor, and variable manufacturing overhead.
Janet Dunn, who has just been appointed general manager of the Westwood Plant, has been given instructions to “get things under control.” Upon reviewing the plant’s income statement, Ms. Dunn has concluded that the major problem lies in the variable cost of goods sold. She has been provided with the following standard cost per swimming pool:
| Standard Quantity or Hours |
Standard Price or Rate |
Standard Cost | ||||
| Direct materials | 3.0 pounds | $ |
2.50 |
per pound | $ | 7.50 |
| Direct labor | 0.4 hours | $ |
7.10 |
per hour | 2.84 | |
| Variable manufacturing overhead | 0.3 hours* | $ |
2.60 |
per hour |
0.78 |
|
| Total standard cost per unit | $ | 11.12 | ||||
*Based on machine-hours.
During June the plant produced 8,000 pools and incurred the following costs:
Used 23,800 pounds of materials in production. (Finished goods and work in process inventories are insignificant and can be ignored.)
Worked 3,800 direct labor-hours at a cost of $6.80 per hour.
Incurred variable manufacturing overhead cost totaling $8,100 for the month. A total of 2,700 machine-hours was recorded.
It is the company’s policy to close all variances to cost of goods sold on a monthly basis.
Required:
1. Compute the following variances for June:
a. Materials price and quantity variances.
b. Labor rate and efficiency variances.
c. Variable overhead rate and efficiency variances.
2. Summarize the variances that you computed in (1) above by showing the net overall favorable or unfavorable variance for the month.
In: Accounting
DataSpan, Inc., automated its plant at the start of the current year and installed a flexible manufacturing system. The company is also evaluating its suppliers and moving toward Lean Production. Many adjustment problems have been encountered, including problems relating to performance measurement. After much study, the company has decided to use the performance measures below, and it has gathered data relating to these measures for the first four months of operations.
| Month | ||||||||
| 1 | 2 | 3 | 4 | |||||
| Throughput time (days) | ? | ? | ? | ? | ||||
| Delivery cycle time (days) | ? | ? | ? | ? | ||||
| Manufacturing cycle efficiency (MCE) | ? | ? | ? | ? | ||||
| Percentage of on-time deliveries | 82 | % | 77 | % | 74 | % | 71 | % |
| Total sales (units) | 2100 | 2010 | 1907 | 1835 | ||||
Management has asked for your help in computing throughput time, delivery cycle time, and MCE. The following average times have been logged over the last four months:
| Average per Month (in days) | |||||||||
| 1 | 2 | 3 | 4 | ||||||
| Move time per unit | 0.6 | 0.3 | 0.4 | 0.4 | |||||
| Process time per unit | 2.3 | 2.2 | 2.1 | 2.0 | |||||
| Wait time per order before start of production | 20.0 | 21.9 | 26.0 | 28.0 | |||||
| Queue time per unit | 4.7 | 5.5 | 6.4 | 7.4 | |||||
| Inspection time per unit | 0.8 | 1.1 | 1.1 | 0.8 | |||||
Required:
1- Compute the throughput time for each month. Compute the delivery cycle time for each month. Compute the manufacturing cycle efficiency (MCE) for each month.
2. Evaluate the company’s performance over the last four months.
3-a. Refer to the move time, process time, and so forth, given for month 4. Assume that in month 5 the move time, process time, and so forth, are the same as in month 4, except that through the use of Lean Production the company is able to completely eliminate the queue time during production. Compute the new throughput time and MCE.
3-b. Refer to the move time, process time, and so forth, given for month 4. Assume in month 6 that the move time, process time, and so forth, are again the same as in month 4, except that the company is able to completely eliminate both the queue time during production and the inspection time. Compute the new throughput time and MCE.
In: Accounting
1a. Suppose that the current one-year rate (one-year spot rate)
and expected one-year T-bill rates over the following three years
(i.e., years 2, 3, and 4, respectively) are as follows:
1R1 = 0.3%,
E(2r 1) = 1.3%,
E(3r1) = 10.4%,
E(4r1) = 10.75%
Using the unbiased expectations theory, calculate the current
(long-term) rates for one-, two-, three-, and four-year-maturity
Treasury securities. (Round your answers to 3 decimal
places. (e.g., 32.161))
1b.The Wall Street Journal reports that the
rate on four-year Treasury securities is 1.3 percent and the rate
on five-year Treasury securities is 2.8 percent. According to the
unbiased expectations hypotheses, what does the market expect the
one-year Treasury rate to be four years from today,
E(5r1)? (Do not
round intermediate calculations. Round your answer to 2 decimal
places. (e.g., 32.16))
1c.Assume the current interest rate on a one-year Treasury bond (1R1) is 1.69 percent, the current rate on a two-year Treasury bond (1R2) is 1.85 percent, and the current rate on a three-year Treasury bond (1R3) is 1.96 percent. If the unbiased expectations theory of the term structure of interest rates is correct, what is the one-year interest rate expected on T-bills during year 3 (E(3r1) or 3f1)? (Do not round intermediate calculations. Round your answer to 2 decimal places. (e.g., 32.16))
1d.Calculate the future value of the following annuity
streams:
a. $8,000 received each year for 5 years on the
last day of each year if your investments pay 6 percent compounded
annually.
b. $8,000 received each quarter for 5 years on the
last day of each quarter if your investments pay 6 percent
compounded quarterly.
c. $8,000 received each year for 5 years on the
first day of each year if your investments pay 6 percent compounded
annually.
d. $8,000 received each quarter for 5 years on the
first day of each quarter if your investments pay 6 percent
compounded quarterly.
(For all requirements, do not round intermediate
calculations. Round your answers to 2 decimal places. (e.g.,
32.16))
a. Future Value:
b. Future Value:
c. Future Value:
d. Future Value:
In: Finance
a) An adviser in student services would like to estimate the average monthly car payment of all IRSC students. From past research, it is known that the standard deviation of the distribution of all IRSC student car payments is $44. Determine the sample size necessary such that the margin of error of the estimate for a 99% confidence interval for the average monthly car payment of all IRSC students is at most $7.23. Round the solution up to the nearest whole number.
n=
b) A public health official in St. Lucie county needs to
estimate the average diastolic blood pressure of all residents in
St. Lucie county for a report that is being prepared for the
Florida Department of Health.
The official randomly selected 142 St. Lucie county residents and
found that the mean diastolic blood pressure of the sample was 80
millimeters of mercury (mm Hg).
Using a 98% confidence level, determine the margin of error, EE,
and a confidence interval for the mean diastolic blood pressure of
all St. Lucie county residents. From past research, it is known
that the standard deviation of the distribution of all St. Lucie
county residents' diastolic blood pressure is 9 mm Hg.
Report the confidence interval using interval notation. Round
solutions to two decimal places, if necessary.
The margin of error is given by E=.
A 98% confidence interval is given by ______
c)
A musicologist is currently writing a report about pop songs in
the late 2010s. As a part of her research, the musicologist would
like to estimate the mean length of pop songs in the late 2010s. A
random sample of 191 pop songs from the 2010s was selected and the
average of the sample was found to be 3.14 minutes with a standard
deviation of 0.3 minutes.
Find three different confidence intervals - one with a 98%
confidence level, one with a 97% confidence level, and one with a
90% confidence level - for the average length of all pop songs in
the late 2010s. Notice how the confidence level affects the margin
of error and the width of the interval.
Report confidence interval solutions using interval notation. Round
solutions to three decimal places, if necessary.
In: Statistics and Probability
Ray Archuleta is the chief financial officer for the Feelgood Hospital in San Francisco. Mr. Archuleta has asked you to evaluate costs in the hospital’s lab for the past month. The following information is available:
The hospital has never used standard costs. By searching industry literature, however, you have determined the following nationwide averages for hospital labs:
Plates: Two plates are required per lab test. These plates cost $5.00 each and are disposed of after the test is completed.
Labor: Each blood test should require 0.3 hours to complete, and each smear should require 0.15 hours to complete. The average cost of this lab time is $20 per hour.
Overhead: Overhead cost is based on direct labor-hours. The average rate for variable overhead is $6 per hour.
Required:
| Cost Element | Standard Quantity or Hours | Standard Price or Rate | Standard Unit Cost |
| Direct materials | |||
| Direct labor - Blood Tests | |||
| Direct labor - Smears |
2. Calculate the six standard cost variances shopwn below for the 4,200 tests completed in the lab last month. Indicate favorable (F) or unfavorable (U). Use whole numbers, no decimals, commas if necessary and no dollar signs.
| Amount | Favorable or Unfavorable | |
| Direct materials price variance | ||
| Direct materials quantity variance | ||
| Direct labor rate variance | ||
| Direct labor efficiency variance | ||
| Variable overhead rate variance | ||
| Variable overhead efficiency variance |
You may prepare a separate tab in the Budget Problem Worksheet and upload it to show your work.
In: Accounting
Factory Overhead Budget
Service Department 1 handles personnel matters. The firm
anticipates having 12 factory employees and expects the variable
costs to operate the personnel department to average $1,000 per
employee. The cost of this department is allocated to other
departments on the assumption that there will be three employees in
the maintenance department, five employees in the molding
department, and four employees in the smoothing department. The
personnel department’s fixed
costs are estimated to be $15,000 and will be allocated on a lump
sum basis at $3,000 to maintenance, $6,000 to molding and $6,000 to
smoothing.
The maintenance department is budgeted to make 100 service calls
during the period, 60 calls for the molding department and 40 calls
for the smoothing department. The maintenance manager estimates
that it will cost an average of $150 in variable costs per service
call. The fixed costs of $14,000 are thought to benefit the two
production departments equally.
The molding department is expected to incur $29,000 in variable
overhead and $42,000 in fixed overhead. The smoothing department is
expected to have $32,000 in variable overhead and $8,000 in fixed
overhead.
Management has decided to allocated 60% of the fixed overhead cost
of molding to XL1 and 40% to XL2 and split the fixed smoothing
costs evenly between the two products. Variable costs will be
allocated based on direct labor hours.
Direct Labor
Molding
XL1: 0.5, XL2: 0.4
Smoothing
XL1: 0.3, XL: 0.2
Std Cost = 15
Personnel Dept
Factory 12 employees
Maintenance 3 employees
Molding 5 employees
Smoothing 4 employees
Variable Cost 1,000 per employee
Fixed Cost 15,000
Maintenance 3,000
Molding 6,000
Smoothing 6,000
Maintenance Dept
Service Calls 100
Molding 60
Smoothing 40
Variable Cost 150 per service call
Fixed Cost 14,000
Molding 50%
Smoothing 50%
Molding Dept
Variable Cost 29,000
Fixed Cost 42,000
XL1 60%
XL2 40%
Smoothing Dept
Variable Cost 32,000
Fixed Cost 8,000
XL1 50%
XL2 50%
Help Calculate based on above data:
Cost Per direct labor hour
Cost per unit of XL1
Cost per unit of XL2
Fixed Costs charged to production XL1
Cost per unit of XL1
Fixed Costs charged to production of XL2
Cost per Unit of XL2
In: Accounting
Flexible Budgeting and Variance Analysis
I Love My Chocolate Company makes dark chocolate and light chocolate. Both products require cocoa and sugar. The following planning information has been made available:
| Standard Amount per Case | ||||||
| Dark Chocolate | Light Chocolate | Standard Price per Pound | ||||
| Cocoa | 9 lbs. | 6 lbs. | $5.00 | |||
| Sugar | 7 lbs. | 11 lbs. | 0.60 | |||
| Standard labor time | 0.3 hr. | 0.4 hr. | ||||
| Dark Chocolate | Light Chocolate | |||
| Planned production | 4,700 cases | 10,600 cases | ||
| Standard labor rate | $16.00 per hr. | $16.00 per hr. | ||
I Love My Chocolate Company does not expect there to be any beginning or ending inventories of cocoa or sugar. At the end of the budget year, I Love My Chocolate Company had the following actual results:
| Dark Chocolate | Light Chocolate | |||
| Actual production (cases) | 4,500 | 11,000 | ||
| Actual Price per Pound | Actual Pounds Purchased and Used | |||
| Cocoa | $5.10 | 107,000 | ||
| Sugar | 0.55 | 148,700 | ||
| Actual Labor Rate | Actual Labor Hours Used | |||
| Dark chocolate | $15.60 per hr. | 1,230 | ||
| Light chocolate | 16.40 per hr. | 4,510 | ||
Required:
1. Prepare the following variance analyses for both chocolates and the total, based on the actual results and production levels at the end of the budget year:
a. Direct materials price variance, direct materials quantity variance, and total variance.
b. Direct labor rate variance, direct labor time variance, and total variance.
Enter a favorable variance as a negative number using a minus sign and an unfavorable variance as a positive number.
| a. | Direct materials price variance | $ | Favorable |
| Direct materials quantity variance | $ | Favorable | |
| Total direct materials cost variance | $ | Favorable | |
| b. | Direct labor rate variance | $ | Favorable |
| Direct labor time variance | $ | ||
| Total direct labor cost variance | $ |
2. The variance analyses should be based on the standard amounts at actual volumes. The budget must flex with the volume changes. If the actual volume is different from the planned volume, as it was in this case, then the budget used for performance evaluation should reflect the change in direct materials and direct labor that will be required for the actual production. In this way, spending from volume changes can be separated from efficiency and price variances.
In: Accounting
A scientist wishes to investigate whether exposure to sunlight reduces the amount of time it takes for a particular chemical reaction to take place. There is natural variability in reaction time. Data are recorded for 20 different experiments, 10 instances of reaction time in bright, and 10 instances of reaction time in shade. These are presented in the following table.
|
Experiment |
Conditions |
Time |
Experiment |
Conditions |
Time |
|
1 |
Bright |
7.1 |
11 |
Shade |
7.4 |
|
2 |
Bright |
6.2 |
12 |
Shade |
7.0 |
|
3 |
Bright |
8.1 |
13 |
Shade |
8.1 |
|
4 |
Bright |
7.4 |
14 |
Shade |
8.9 |
|
5 |
Bright |
7.2 |
15 |
Shade |
7.1 |
|
6 |
Bright |
6.4 |
16 |
Shade |
7.0 |
|
7 |
Bright |
6.5 |
17 |
Shade |
7.5 |
|
8 |
Bright |
6.7 |
18 |
Shade |
8.6 |
|
9 |
Bright |
6.8 |
19 |
Shade |
7.3 |
|
10 |
Bright |
8.0 |
20 |
Sade |
6.9 |
The scientist does a statistical test and obtains the output in the following display.
Two sample T-test and Confidence Interval
Two sample T for Bright vs Shade
|
N |
Mean |
St Dev |
SE Mean |
|
|
Bright |
10 |
7.040 |
0.648 |
0.21 |
|
Shade |
10 |
7.580 |
0.710 |
0.22 |
95% CI for mu Bright – mu Shade: (-1.18, 0.10)
T-Test mu Bright = mu Shade (vs not =): T = -1.78 P = 0.093 DF=18
Both use Pooled StDev = 0.680
The scientist really believes that reactions in bright are on average quicker. But according to the analysis results, it will not be possible to publish anything. The scientist then goes to see a statistician to find out if there is anything that can be done to change the conclusion. The statistician flippantly suggest that a o ne-sided test would do the trick, but emphasises that a better solution by far would involve collecting more data.
In: Statistics and Probability
Flexible Budgeting and Variance Analysis
I Love My Chocolate Company makes dark chocolate and light chocolate. Both products require cocoa and sugar. The following planning information has been made available:
| Standard Amount per Case | ||||||
| Dark Chocolate | Light Chocolate | Standard Price per Pound | ||||
| Cocoa | 12 lbs. | 9 lbs. | $5.10 | |||
| Sugar | 10 lbs. | 14 lbs. | 0.60 | |||
| Standard labor time | 0.3 hr. | 0.4 hr. | ||||
| Dark Chocolate | Light Chocolate | |||
| Planned production | 4,000 cases | 10,800 cases | ||
| Standard labor rate | $15.00 per hr. | $15.00 per hr. | ||
I Love My Chocolate Company does not expect there to be any beginning or ending inventories of cocoa or sugar. At the end of the budget year, I Love My Chocolate Company had the following actual results:
| Dark Chocolate | Light Chocolate | |||
| Actual production (cases) | 3,800 | 11,200 | ||
| Actual Price per Pound | Actual Pounds Purchased and Used | |||
| Cocoa | $5.20 | 147,100 | ||
| Sugar | 0.55 | 189,900 | ||
| Actual Labor Rate | Actual Labor Hours Used | |||
| Dark chocolate | $14.50 per hr. | 1,040 | ||
| Light chocolate | 15.50 per hr. | 4,590 | ||
Required:
1. Prepare the following variance analyses for both chocolates and the total, based on the actual results and production levels at the end of the budget year:
a. Direct materials price variance, direct materials quantity variance, and total variance.
b. Direct labor rate variance, direct labor time variance, and total variance.
Enter a favorable variance as a negative number using a minus sign and an unfavorable variance as a positive number. If there is no variance, enter a zero.
| a. | Direct materials price variance | $ | Unfavorable |
| Direct materials quantity variance | $ | Unfavorable | |
| Total direct materials cost variance | $ | Unfavorable | |
| b. | Direct labor rate variance | $ | Unfavorable |
| Direct labor time variance | $ | Unfavorable | |
| Total direct labor cost variance | $ | Unfavorable |
2. The variance analyses should be based on the standard amounts at actual volumes. The budget must flex with the volume changes. If the actual volume is different from the planned volume, as it was in this case, then the budget used for performance evaluation should reflect the change in direct materials and direct labor that will be required for the actual production. In this way, spending from volume changes can be separated from efficiency and price variances.
In: Accounting