I believe the answer is: Greater
For example, let's say that there is a company that make vehicles with no pollutant for the environment.
The government in this situation might provide the company with incentives with the reason that the amount of incentive is smaller compared to the amount of expense that the government had to spend to fix the damage to the environment.
Answer:
the correct answer is
The $400 retail price of the generator.
good luck
Answer: a.$275,000
Explanation:
Let us assume local production sales of 0 for simplicity of analysis.
At 0 there will be no Variable Costs and no fixed costs because they are dependant on the amount of units produced.
If then Rylan Corporation receives 25,000 units at $16 per unit this will change the Variable costs as it will have to incorporate the new units.
The question however says that normal production continues. This means that Fixed costs do not change. That means fixed costs remain at $0.
That means the only change will be the Variable costs of selling 25,000 units.
At a rate of $11 per unit we then have,
= 11 * 25,000
= $275,000
The costs have increased by $275,000 from 0 which means that $275,000 is the Incremental cost.
Note that Fixed and Variable costs of 0 are improbable and we're only used for simpler analysis. Feel free to try the question with other number of units for your own practice. You will arrive at the same answer regardless.
<span>Employers normally require employees to pay a large portion of thecost of the life insurance benefit.</span>
Answer:
D: Optimum Order size
Explanation:
Economic Order Quantity (EOQ) is a formula applied in logistic and supply chain management to calculate a business's ideal order size. As the name suggests, the order EOQ provides an order quantity that makes economic sense.
Economies of scale suggest that a bigger order size is better because the business will save transport costs. However, ordering in large quantities increases the cost of holding stock. The economic order quantity strikes a balance between these two important factors.