The following partially completed process cost summary describes
the July production activities of the Molding department at Ashad
Company. Its production output is sent to the next department. All
direct materials are added to products when processing begins.
Beginning work in process inventory is 20% complete with respect to
conversion.
| Equivalent Units of Production | Direct Materials | Conversion | ||||
| Units transferred out | 35,000 | EUP | 35,000 | EUP | ||
| Units of ending work in process | 2,500 | EUP | 1,500 | EUP | ||
| Equivalent units of production | 37,500 | EUP | 36,500 | EUP | ||
| Costs per EUP | Direct Materials | Conversion | ||||||
| Costs of beginning work in process | $ | 18,450 | $ | 2,280 | ||||
| Costs incurred this period | 394,050 | 205,770 | ||||||
| Total costs | $ | 412,500 | $ | 208,050 | ||||
| Units in beginning work in process (all completed during July) | 2,000 |
| Units started this period | 35,500 |
| Units completed and transferred out | 35,000 |
| Units in ending work in process | 2,500 |
Prepare its process cost summary using the weighted-average method. (Round "Cost per EUP" to 2 decimal places.)
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In: Accounting
[The following information applies to the questions
displayed below.]
The following partially completed process cost summary describes
the July production activities of Ashad Company. Its production
output is sent to its warehouse for shipping. All direct materials
are added to products when processing begins. Beginning work in
process inventory is 20% complete with respect to
conversion.
| Equivalent Units of Production | Direct Materials | Conversion | ||||
| Units transferred out | 35,000 | EUP | 35,000 | EUP | ||
| Units of ending work in process | 2,500 | EUP | 1,500 | EUP | ||
| Equivalent units of production | 37,500 | EUP | 36,500 | EUP | ||
| Costs per EUP | Direct Materials | Conversion | ||||||
| Costs of beginning work in process | $ | 18,450 | $ | 2,280 | ||||
| Costs incurred this period | 394,050 | 205,770 | ||||||
| Total costs | $ | 412,500 | $ | 208,050 | ||||
| Units in beginning work in process (all completed during July) | 2,000 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Units started this period | 35,500 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Units completed and transferred out | 35,000 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Units in ending work in process | 2,500 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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In: Accounting
Custom Clothing Ltd is a manufacturer of pieces of clothing ordered by customers in their own design. The minimum number of pieces to accept an order is 80 pieces. The following information for the year 2019 is provided by this company:
|
Total production and sales (number of pieces) |
80,000 pieces |
|
Total direct labour hours |
100,000 |
|
Total machine hours |
60,000 |
|
Costs: |
|
|
Marketing |
$2,400,000 |
|
Machine and maintenance repairs |
$860,000 |
|
Depreciation of sewing machines |
$32,000 |
|
Depreciation of factory building |
$18,000 |
|
Depreciation of administration equipment |
$8,000 |
|
Total cost of direct materials |
$720,000 |
|
Cleaning materials factory |
$6,000 |
|
Interest |
$2,100 |
|
Total cost of direct labour |
$1,800,000 |
|
Indirect labour |
$1,400,000 |
|
Factory electricity |
$650,000 |
|
Administration |
$1,800,000 |
|
Other indirect costs |
$520,000 |
From the information provided, calculate the following costs:
|
Total direct costs |
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Total overhead costs |
|
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Total manufacturing costs |
Calculate the total overhead rates (round to 2 decimal places) using:
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The company has received an order for 200 pieces of clothing designed by the customer. It is estimated the order will take 240 direct labour hours (DLH) and 140 machine hours (MH). The company applies 60% mark-up on cost.
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Direct labour hours as the cost driver |
Number of pieces produced as the cost driver |
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Price =
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Price = |
In: Accounting
You are the marketing manager for a sail manufacturing company that produces two sizes of sails: small and large. You are asked to help price the products so that the company is able to make a profit AND the customer is happy.
Based on last year's sales, you expect to sell 15,000 small sails and 6,500 large sails in the upcoming year. The accounting department reports a total fixed cost for producing the small and large sails of $750,000 and $800,000 respectively. The variable cost per small sail is $800 while the variable cost per large sail is $1,200.
Your pricing objective surrounds maximizing profit. Because of this, you have a target return on investment of 30% profit for each sail. Consider the following formulas as you proceed forward on this exercise:
Markup on cost percentage = (Markup ÷ Cost) x 100
Average cost of a single unit = All costs ÷ Total number of
units
Target return price per unit = [(Fixed Costs + Target Return) ÷
Units] + variable cost per unit
Complete the spreadsheet below and use it to answer the questions that follow.
This activity is important because marketing managers benefit from understanding how optimal price is calculated in order to set an exact price for an offering.
The goal of this activity is to demonstrate an understanding of the role of price and apply different pricing tactics and strategies to a pricing model.
| Total Cost | Average Variable Cost | Quantity | Total Fixed Cost | Total Cost |
| Small Sail | $800.00 | 15,000.00 | $750,000.00 | $12,750,000.00 |
| Large Sail | $1,200.00 | 6,500.00 | $800,000.00 | $8,600,000.00 |
| Average Total Cost | Total Cost | Quantity | Average Cost of a Unit | |
| Small Sail | ? | 15,000.00 | ||
| Large Sail | ? | 6,500.00 | ||
| Mark up Price | Average Cost of a Unit | Markup on Cost Percentage | Price | |
| Small Sail | ? | 30% | ||
| Large Sail | ? | 30% | ||
| Total Revenue | Price | Quantity | Total Revenue | |
| Small Sail | ? | 15,000.00 | ||
| Large Sail | ? | 6,500.00 |
In: Accounting
An important application of regression analysis in accounting is in the estimation of cost. By collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. Consider the following sample of production volumes and total cost data for a manufacturing operation.
| Production Volume (units) | Total Cost ($) |
| 400 | 4,000 |
| 450 | 5,000 |
| 550 | 5,400 |
| 600 | 5,900 |
| 700 | 6,400 |
| 750 | 7,000 |
b1=
b0=
y1= _____ + ______x
b. What is the variable cost per unit?
r2=
What percentage of the variation in total cost can be explained by the production volume?
The company's production schedule shows 500 units must be produced next month. What is the estimated total cost for this operation (to the nearest whole number
In: Statistics and Probability
Will rate you please solve this ASAP
1) A ski hat maufacturer that uses $60 per machine hour as its plantwide predetermined overhead rate for job order costing.
Direct Labor cost: $800
Direct materials cost: $600
For its Danger Mountain ski hat job, it used 18 machine hours and it produced 200 ski hats. What was the total cost of the job and the cost per ski hat?
Multiple Choice
$1,460 total cost and $7.30 per ski hat.
$1,418 total cost and $7.09 per ski hat.
$2,480 total cost and $12.40 per ski hat.
$1,400 total cost and $7.40 per ski hat.
2) A company using Process Costing shipped goods that had a cost of $4,000 to a customer who bought them for $7,000. Included in one of the two required journal entries would be a debit to:
Multiple Choice
Finished Goods for $7,000
Cost of Goods Sold for $4,000
Sales for $4,000
Sales for $7,000
In: Accounting
Lindsey Company uses activity-based costing. The company has two
products: A and B. The annual production and sales of Product A is
9,000 units and of Product B is 8,000 units. There are three
activity cost pools, with total cost and total activity as
follows:
| Total Activity | ||||
| Activity Cost Pool | Total Cost | Product A | Product B | Total |
| Activity 1 | $31,000 | 100 | 520 | 620 |
| Activity 2 | $46,287 | 860 | 250 | 1,110 |
| Activity 3 | $156,750 | 840 | 3,910 | 4,750 |
The activity-based costing cost per unit of Product A is closest to: (Round your intermediate calculations to 2 decimal places.)
$1.82
$12.61
$7.62
$4.32
In: Accounting
Rangers at the everglades national park, ride an air-boat, the mass of the air boat plus the rangers is 500 kg. The blades of the boat push on the air with 1000N, while moving the rangers experience an air resistance force of 200N directed opposite to the direction of motion, and the boat a water resistance of 250N. They move in straight line for 20s. Please complete the following tasks:
In: Physics
You may need to use the appropriate technology to answer this question.
An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use α = 0.05.
| Type of Ride | |||
|---|---|---|---|
| Roller Coaster | Screaming Demon | Log Flume | |
| Method 1 | 45 | 48 | 50 |
| 47 | 40 | 46 | |
| Method 2 | 45 | 54 | 48 |
| 47 | 50 | 44 | |
Find the value of the test statistic for method of loading and unloading.
Find the p-value for method of loading and unloading. (Round your answer to three decimal places.)
p-value =
State your conclusion about method of loading and unloading.
Because the p-value ≤ α = 0.05, method of loading and unloading is not significant.Because the p-value > α = 0.05, method of loading and unloading is significant. Because the p-value > α = 0.05, method of loading and unloading is not significant.Because the p-value ≤ α = 0.05, method of loading and unloading is significant.
Find the value of the test statistic for type of ride.
Find the p-value for type of ride. (Round your answer to three decimal places.)
p-value =
State your conclusion about type of ride.
Because the p-value > α = 0.05, type of ride is significant.Because the p-value > α = 0.05, type of ride is not significant. Because the p-value ≤ α = 0.05, type of ride is significant.Because the p-value ≤ α = 0.05, type of ride is not significant.
Find the value of the test statistic for interaction between method of loading and unloading and type of ride.
Find the p-value for interaction between method of loading and unloading and type of ride. (Round your answer to three decimal places.)
p-value =
State your conclusion about interaction between method of loading and unloading and type of ride.
Because the p-value ≤ α = 0.05, interaction between method of loading and unloading and type of ride is significant.
Because the p-value ≤ α = 0.05, interaction between method of loading and unloading and type of ride is not significant.
Because the p-value > α = 0.05, interaction between method of loading and unloading and type of ride is not significant.
Because the p-value > α = 0.05, interaction between method of loading and unloading and type of ride is significant.
In: Statistics and Probability
You may need to use the appropriate technology to answer this question.
An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use α = 0.05.
| Type of Ride | |||
|---|---|---|---|
| Roller Coaster | Screaming Demon | Log Flume | |
| Method 1 | 41 | 52 | 50 |
| 43 | 44 | 46 | |
| Method 2 | 49 | 50 | 48 |
| 51 | 46 | 44 | |
Find the value of the test statistic for method of loading and unloading.
Find the p-value for method of loading and unloading. (Round your answer to three decimal places.)
p-value =
State your conclusion about method of loading and unloading.
Because the p-value > α = 0.05, method of loading and unloading is not significant.Because the p-value > α = 0.05, method of loading and unloading is significant. Because the p-value ≤ α = 0.05, method of loading and unloading is not significant.Because the p-value ≤ α = 0.05, method of loading and unloading is significant.
Find the value of the test statistic for type of ride.
Find the p-value for type of ride. (Round your answer to three decimal places.)
p-value =
State your conclusion about type of ride.
Because the p-value > α = 0.05, type of ride is significant.Because the p-value ≤ α = 0.05, type of ride is not significant. Because the p-value > α = 0.05, type of ride is not significant.Because the p-value ≤ α = 0.05, type of ride is significant.
Find the value of the test statistic for interaction between method of loading and unloading and type of ride.
Find the p-value for interaction between method of loading and unloading and type of ride. (Round your answer to three decimal places.)
p-value =
State your conclusion about interaction between method of loading and unloading and type of ride.
Because the p-value ≤ α = 0.05, interaction between method of loading and unloading and type of ride is not significant.
Because the p-value > α = 0.05, interaction between method of loading and unloading and type of ride is not significant.
Because the p-value ≤ α = 0.05, interaction between method of loading and unloading and type of ride is significant.
Because the p-value > α = 0.05, interaction between method of loading and unloading and type of ride is significant.
In: Statistics and Probability