Answer:
FIFO ending inventory 300 dollars
LIFO ending ivnentory 200 dollars
Explanation:
May-1 Inventory 30 units at $8 $ 240
15 Purchases 25 units at $11 $ 275
24 Purchases 35 units at $12 $ 420
Total good available 90 units for a value of $935
We sale 65 units therefore, 25 units remains in our ending inventory.
FIFO will sale the first units leading the newest for inventory
So May 24th would be our ending inventory:
25 units x $12 = $300
LIFO will sale the newest and leave the oldest as inventory.
May 1st units are still at inventory according to LIFO
25 units x $8 = $200
<span>Given data shows that $1000 as salvage value and purchased computer for $8000
Depreciation was:
(8,000 - 1,000) / 5 = 1,400 per year.
Two year's depreciation = 2,800
Book value after two years = 8,000 - 2,800 = 5,200
After the estimates are revised, there are two more years remaining with a salvage value of 500.
(5,200 - 500) / 2 = 2,350 depreciation for 2018</span>
Answer:
C
Explanation:
A farmer would want to look at the economic status of the US because his goal is to sell as much wheat as possible and make the most profit. If he pays no attention to the economy and there's a recession but he still sells his wheat at the normal price, people whose stocks are going down and who are losing money will be unable to, and unwilling to, pay the price. Thus, the farmer must inspect the changing economic statuses of the US to determine the best and most effective way to market out his wheat to the public.
Changes in US racial patterns have no impact on the marketing of the farmer's wheat, so A is incorrect.
The number of births per year is also irrelevant, as is the general population growth numbers because these do not affect the way the farmer will market his crops, so B and D are incorrect.
Hope this helps!
Answer:
The answer is C: 14300
Note: The actual answer is 14296, <em>and </em>the closest to that was option C.
Explanation:
Formula to calculate forecast using Exponential smoothing:
Where,
= New Forecast
= Previous period's forecast.
= Smoothing Constant
= Previous period's Actual Demand.
- Calculating the forecast for period 5:
Data:
Putting <em>values in the formula:</em>



