Answer:
The answer is: $100,000
Explanation:
Under LIFO (last in, first out) costing method, we use the oldest costs are used to determine the ending inventory:
We were given the following data:
- Jan. 1: 8,000 purchased at $11 per unit
- June 19: 13,000 purchased at $12 per unit
- Nov. 8: 5,000 purchased at $13 per unit
If the ending inventory had 9,000 units, then its total cost is:
Ending inventory = (8,000 units x $11 per unit) + (1,000 units x $12 per unit)
Ending inventory = $88,000 + $12,000 = $100,000
Answer:
The total opportunity cost of investing in the business is explained below:
Explanation:
Opportunity cost is also known as alternative cost, the cost incurred from giving up one benefit for an alternative. Kelly withdrew 1000$ from his account, which was giving him a 3% profit annually, and the total opportunity cost of withdrawing 1000$ is 30$ annually. Similarly, he withdrew another 2000$ at 7% interest rate that is 140$which he has to pay annually.
30$ + 140$ =170$
The total annual opportunity cost is 170$
Answer:
correct option is b. frederick herzberg to increase worker motivation.
Explanation:
given data
reimbursing them up to = $7,500 per year
solution
- Frederick Herzberg developed his two-factor theory from the hierarchy of Abraham Maslow to the theory of necessities. The two-factor theory basically states that employers have a set of factors that motivate them and that they have a particular set of factors that do not motivate them, and that the two factors are independent of each other.
- as employers may try to motivate employees by following certain actions, but this does not mean that employees are ignored every time, because beliefs, actions, and events that lead to lack of motivation are different from those that go by. More motivation.
-
Factors that motivate employees include: self-awareness, complexity of work, achievement recognition, loss of responsibility.
so Collier Chemicals is adopting a strategy to meet those needs.
Answer: 13.1%
Explanation:
Using the Capital Asset Pricing Model, the expected return is;
Expected Return = Risk Free rate + beta(expected return - risk free rate)
= 4% + 1.3( 11% - 4%)
= 4% + 9.1%
Expected Return = 13.1%
