Answer:
5. Basic underlying assumptions
Explanation:
Basic underlying assumptions represent the core and essence of culture which are too difficult to observe because they exist in unconscious levels and least observable part of a culture. They can be taken lightly but they have a great influence and form the key to understanding why things are they way they are.
False. Average fixed costs are totally different from average variable costs. They can only be equal if by chance the fixed costs are equal to variable costs for a specific level of production
Answer:
C. $12 billion.
Explanation:
GDP refers to the Gross domestic product. It means that the market value of all final goods and services produced within the country.
Since in the question the GDP reported in quarter 3 was $12 billion and the same is to be considered as a GDP because it reflected the market value of all final goods and services
Therefore, the correct option is c.
Total variable cost is -44000 ,0, 244000.
TR = P * Q
TC = FC + VC
Profit = TR - TC
Price Q TR FC VC
10 6000 6000 * 10 = 60000 44000 =10 * 6000 = 60000
16 8000 16 * 8000 = 128000 44000 =10.5 * 8000 = 84000
40 12000 40 * 12000 = 480000 44000 =16*12000 = 192000
Profit
-44000
0
244000.
The main goal of a perfect competitor to maximize profits is to calculate the optimum production level where marginal cost (MC) = market price (P). As shown in the graph above, the point of profit maximization is where the MC intersects the MR or P.
This is the output when the marginal revenue from the last sold unit is equal to the marginal cost to produce it.
In order to maximize profits, companies need to produce in a place where marginal revenue and marginal cost are equal. The company's marginal production cost is $ 20 per unit. If the company produces 4 units, its marginal revenue is $ 20. Therefore, the company needs to produce 4 production units.
Learn more about profit or loss here: brainly.com/question/13799721
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The statement in the question is True.
<u>Explanation:</u>
In statistics, the residual sum of squares (RSS), otherwise called the sum of squared residuals (SSR) or the total of squared estimate of errors (SSE), is the aggregate of the squares of residuals (deviations anticipated from real observational estimations of information). It is a proportion of the error between the information and an estimation model.
A little RSS demonstrates a tight attack of the model to the information. It is utilized as an optimality standard in parameter determination and model choice.
