Answer:
the average cost per unit that should be used to determine the cost of the units sold on January 28 is $ 59.00
Explanation:
The Weighted Average Cost Method calculates the new cost of Inventory with each purchase of Inventory.
The Perpetual Inventory System records the cost of inventory sold with each sale made.
<u>Calculation of the new cost of Inventory with each purchase of Inventory :</u>
January 10:
Cost per Unit = Total Cost / Total Number of Units
Cost per Unit = (( 600 units × $55 per unit ) + ( 1000 units × $59 per unit )) / 1600 units
= $ 57.50
January 20:
Cost per Unit = Total Cost / Total Number of Units
Cost per Unit = (( 1600 units × $57.50 per unit ) + ( 800 units × $62 per unit )) / 2400 units
= $ 59.00
There were no further purchases from this point
Thus cost per units remains at $ 59.00
Therefore the average cost per unit that should be used to determine the cost of the units sold on January 28 is $ 59.00
Answer:
Answer is the one which produces values which compare well with actual values based on a standard measure of error.
Explanation:
Exponential smoothing is one means of preparing short-term sales forecasts on a routine basis. To use exponential smoothing, however, one must decide the proper values for the smoothing constants in the forecasting model. One method for selecting the smoothing constants involves conducting a grid search to evaluate a wide range of possible values.
Exponential smoothing forecasting methods use constants that assign weights to current demand and previous forecasts to arrive at new forecasts. Their values influence the responsiveness of forecasts to actual demand and hence influence forecast error. Considerable effort has focused on finding the appropriate values to use.
One approach is to use smoothing constants that minimize some function of forecast error. Thus, in order to select the right constants for forecasting, different values are tried out on past time series, and the ones that minimize an error function like Mean Absolute Deviation (MAD) or Mean Squared Error (MSE) are the ones used for forecasting
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Answer:
$100,000
Explanation:
The computation of the amount of dollars that suggested for free up the cash management system is shown below:
= Average collection period × current average collections per day
= 2 days × $50,000
= $100,000
We simply applied the above formula so that the correct amount could come and the same is to be applied
