Answer:
d. classified as a common fixed expense and not allocated to the product lines.
Explanation:
In the case when the income statement is segmnented by the product line so the salary of the chief executive officer (CEO) would be categorized as a common fixed expenses as it has fixed in a nature so it would not be allocated to the product lines
Therefore as per the given situation, the option D is correct
Hence, the same is to be considered
lily's apparel has defined its target market by : <span>Psychographic characteristics
A psychograhic characteristic is a way to define a target market by finding similar attitudes, lifestyle , or value.
By knowing this similarities, we could find a product that will fulfill all the needs that is required by the majority of that market</span>
Answer:
Answer is explained in the explanation section below.
Explanation:
Solution:
a.
Unleaded fuel prices are expected to fall by June 2019 according to future demand forecasts.
Since the future price is less than the spot price, it would be better for long-term buyers who can wait for the price to increase because the market is currently in BACKWARDATION. This happens due to a short-term disparity in demand and supply.
b.
If the information in this sector is reliable and impartial, the expected June price will most likely be similar to the real price we will see in June.
It is reliable if the market is accurate and impartial, i.e. the market research on which knowledge flows.
The prices of goods are either integrated or expressed in such a flow of knowledge.
So, if it's unbiased and reliable, the forecast prices would be reasonably similar to the real future price.
The factors in society are all around us and them.
As corny as it might sound but the early promoted careers all are because the parents and the teachers and the community.
Answer:
0.17
Explanation:
The computation of the expected return on investment is shown below:
= (Expected return of the outcome 1 × Probability of the outcome 1) + (Expected return of the outcome 1 × Probability of the outcome 1) + (Expected return of the outcome 1 × Probability of the outcome 1)
= (0.15× 0.50) + (0.25 × 0.30) + (0.10 × 0.20)
= 0.075 + 0.075 + 0.02
= 0.17
