Answer:
<u>total</u>
Explanation:
Remember, a LIFO method of accounting for inventory differs in that it records the most recently produced items as sold first; meaning Last in, First Out. Thus leading to recording the lowest cost of older products in the inventory.
A case of lower Net income (income after deductions of cost) thus exists if revenues are sufficient to cover the total cost of the units of inventory sold which reduces taxes.
Explanation:
You will have to compare the Accounts payable of the <em>current and previous year,</em> and check the diference.
If the current year Account Payable is higher then the previous year, this means Google didn't pay as much, so it "save" cash for that diference so the diference will be positive.
If the opposite ocours, then Google pay more than previous year, so the diference will be posted as negatinve in the cash flow statment.
Accrued Expenses for this account, when doing the comparrison, if current is higher this means Google didn't pay as much expenses as it should be, so it save cash, the diference will be posted as positive.
If the actual is smaller, then Google pay more and the diference is posted as negtive.
Resuming, compare current with previous for each account,
- when current is higher then adjustment is positive (save cash)
- when previous is higher then adjustment is negative(use cash)
It's all part of promotions
Answer:
Operating budget
Explanation:
An operating budget is a detailed projection where the company expected its revenue and expenses for a period of time. It is to be prepared at the closing of the year to represent the expected level of the activity during the following year
So as per the given situation, it is the operating budget that contains the revenue details
Answer:
-0.2245
Explanation:
Given the data :
X series :
16
12
8
9
18
9
11
16
15
3
Y series :
23
22
24
18
16
15
28
18
25
24
Using technology, the correlation coefficient value for the model whose data is given above is - 0.2245 which depicts that a weak negative relationship exists between the X series values varibale and Yseries variable. Our conclusion was inferred from the fact that - sign denotes negative and values close to zero denotes a weak association between the plotted variables.
