Answer:
C. LIFO liquidation
Explanation:
Benson Company uses the LIFO inventory costing method for both its tax reporting purposes and its financial reporting purposes. In its footnotes, Benson Company is required to report the amount at which inventories would have been reported under FIFO method.
The difference between these two numbers is commonly referred to as LIFO Reserve.
LIFO reserve represents the difference in ending inventory using LIFO and ending inventory if FIFO were employed instead.
Third option is the correct option.
LIFO reserve = FIFO inventory cost - LIFO inventory cost
FIFO inventory cost = LIFO inventory cost + LIFO reserve
Answer:
295 units
Explanation:
The cost -volume-profits CVP concepts calculate the breakeven point by dividing fixed costs by the contribution margin per unit.
i.e., Breakeven point = Fixed cost/ contribution margin per unit.
For this company,
Fixed costs are $177,000
Contribution margin per unit
= selling price - variable costs.
=$1250 -$650
=$600
Breakeven point = $177,000 / $600
=295 units
Answer:
Production= 76,500
Explanation:
Giving the following information:
Motorcycle Manufacturers, Inc. projected sales of 76,000 machines for 2010. The estimated January 1, 2010, inventory is 6,500 units, and the desired December 31, 2010, inventory is 7,000 units.
We need to use the following formula:
Production= sales + desired ending inventory - beginning inventory
Production= 76,000 + 7,000 - 6,500
Production= 76,500
Answer:
$6.25 per yard
Explanation:
The computation of the standard price per yard of material for its safety suits is shown below:
Material quantity variance = Standard Price × (Actual quantity - Standard quantity)
-$5,000 = Standard price × (10,000 - 10,800)
Standard price = -$5,000 ÷ (-800)
= $6.25 per yard
Hence, the standard price per yard of material for its safety suits is $6.25 per yard
This is an example of variation. The
coefficient of variation, also referred to as the Spearman coefficient of
variation, is a statistical measure that informs us about the relative dispersion
of a data set. Its calculation is obtained by dividing the standard deviation<span> between
the absolute value of the average of the set and it is usually expressed as a
percentage for its better understanding.</span>
