Answer:
$192,000
Explanation:
Calculation for What is the value of ending inventory under variable costing
Using this formula
Value of ending inventory =[(Direct materials+Direct labor+Variable overhead+(Fixed overhead/Units produced)×Ending units in inventory]
Let plug in the formula
Value of ending inventory=[($6+ $4+ $5 + ($234,000/26,000 units) ×8,000 units]
Value of ending inventory= ($15 units+$9 units)×8,000 units
Value of ending inventory=$24 per units×8,000 units
Value of ending inventory = $192,000
Therefore the value of ending inventory under variable costing will be $192,000
Answer:
The answer is b. make-to-stock system
Explanation:
Make-to-stock system is a build-ahead production approach in which production plans may be based upon sales forecasts and/or historical demand. It is a traditional production strategy that is used by businesses to match the inventory with anticipated consumer demand.
Answer:
A. Increase liabilities (Accounts payable) by $337.8 million
Explanation:
The journal entry will be: Inventory (Credit - Increased) 337,860,000 and Accounts payable (Debit - Increased) 337,860,000.
The company must recognize the increase in the Inventory and the medium of payment (Accounts payable).
B is false because this operationn can also be a decrease in cash, but the amount in the operation is too high for this payment medium.
C is false because, the inventory is not sold, and COSG will be increased when the goods are sold.
D is also false because the inventory is increasing, not decreasing.
Answer:
0.0084
Explanation:
For this probability problem, we will have to make use of the normal probability distribution table.
to use the table, we will have to compute a certain value
z = (x- mean) /Standard deviation
z = 
= 2.39
Probability he has worked in the store for over 10 years can be obtained by taking the z value of 2.39 to the normal probability distribution table to read off the values.
<em>To do this, on the "z" column, we scan down the value 2.3. we then trace that row until we reach the value under the ".09" column. </em>
This gives us 0.99916
Thus we have P (Z < 2.39) = 0.9916
We subtract the value obtained from the table from 1 to get the probability required.
1 - 0.9916 = 0.0084
The Probability that the employee has worked at the store for over 10 years = 0.0084
