Answer:
C. Less than the variance of each asset, except when the two assets are perfectly positively correlated.
Explanation:
In diversification, there is the less risk in the portfolio that can be determined by the standard deviation. Also the risk can decrease at the time when the asset is lower than the perfect correlation and the same should be place in portfolio. Now if the asset along perfect positive correlation place in the portfolio so the the portfolio risk could be large than the risk of the individuals assets
Answer:cost of goods sold for Liberty to enter on her Schedule C = $12,000
Explanation:
Cost of goods sold (COGS) of a company are all the costs ie( the raw materials and labor ) involved directly in the production of the particular goods sold by the company.
Given
Beginning Inventory = $50,000
Purchases regarding Labour and materials= $20,000
Ending inventory = $58,000
Cost of Goods Sold is calculated as Beginning Inventory + Purchases During the Period – Ending Inventory
$50,000 + $20,000 - $58,000
$70,000 - $58,000
$12,000
Answer:
Predetermined manufacturing overhead rate= $1.961 per direct material dollar
Explanation:
Giving the following information:
At the beginning of a year, a company predicts total direct materials costs of $1,020,000 and total overhead costs of $1,220,000.
To calculate the predetermined manufacturing overhead rate we need to use the following formula:
Predetermined manufacturing overhead rate= total estimated overhead costs for the period/ total amount of allocation base
Predetermined manufacturing overhead rate= 1,220,000/1,020,000
Predetermined manufacturing overhead rate= $1.961 per direct material dollar
Alpha level is a probability value that is used to define the concept of "very unlikely" in a hypothesis. This value determines he boundaries for the critical region, which is composed of the extreme sample values that are very unlikely to be obtained if the null hypothesis is true. Type I error is <span>when a researcher rejects a true null hypothesis.</span>
The relationship between the alpha level, the size of the critical region, and the risk of a type i error is the following: when the alpha level increases, the critical region increases and type I error increases.