Answer:
Net worth is the value of all assets, minus the total of all liabilities. Put another way, net worth is what is owned minus what is owed. it can help you identify areas where you spend too much money
Answer:
The annual depreciation under SL is $16000 per year.
Explanation:
The depreciation expense under Straight Line (SL) method remains constant throughout an asset's useful life. The depreciation under straight line method is calculated by calculating the value of the asset that is eligible for depreciation, which is its cost less the salvage value (SV) and dividing it by the asset's useful life.
The straight line depreciation per year = (Cost - SV) / estimated useful life
Annual depreciation under SL = (100000 - 20000) / 5 = $16000 per year
a) Yes, $67 exceeds the loss—minimizing output.
Using the MR
They will produce 9 units.
Profits per unit = $67 - $50 = $17
Total profit =
$153.
(b) Yes, $42 exceeds the loss—minimizing output.
Using the MR
They will produce 6 units
Loss per unit is = $42 - $47.50 = $5.50
Total loss = $33 (= 6 x $5.50), which is less than the total fixed cost of $60.
c) No, because $33 is less than AVC. If it did produce, the quantity will be 4—By producing 4 units, it would lose $78 [= 4 ($33 - $52.50)]. and if they didn't produce, it would lose only the total fixed cost of $60.
Answer:
B. auditor
Explanation:
The work of an auditor and that of the forensic accountants are very similar. They both examine financial records and statements of an organization to confirm their accuracy. The auditor and forensic accountant are specialized officers. They have been trained to detect fraudulent reporting in financial statements. After evaluating the books of account, they form an opinion based on their findings.
Answer:
allows accurate predictions.
Explanation:
The law of large numbers states that the larger the amount of policy holders, the probability distribution of the number of claims (losses for the insurance company) will be shaped like a normal distribution. This allows the companies to make more accurate predictions about the future number of claims.
In statistics, the law of large numbers states that as the sample size increases, the mean will be much closer to the real mean of the total population.
