Answer: If the commercial is TRUE that every additional bite of food tastes as good as the first, the marginal utility from consuming more of the advertised product must be CONSTANT. Option D.
Explanation:
Marginal utility is the additional satisfaction an individual gets, from consuming an additional unit of a product or service.
Therefore, in the scenario given above, if every additional bite of food tastes as good as the first, then the additional satisfaction is just as good as the preceding satisfaction. We can therefore say that the marginal utility gotten from consuming that product is constant.
This is an example of "proximal goal".
Proximal objectives are best characterized as here and now and are instrumental in accomplishing distal objectives in which are long haul. The proximal objectives are the giving wellsprings of extra data in regards to exhibitions that isn't uncovered with a distal objective. It is basic that proximal objectives are more sensible to achieve the fulfillment on account of the time hole in getting the objectives. For a complex task, it would not bode well to have distal objectives set up in light of the fact that it at that point would set aside a long span of opportunity to close outcomes in a snappy way.
Answer:
15%
Explanation:
The formula and the calculation of the price elasticity of supply are presented below:
Price elasticity of supply = (Percentage change in quantity supplied ÷ percentage change in price)
where,
Price elasticity of supply = 2
And, the percentage change in quantity supplied is 30%
So, the percentage change in price is
= 30% ÷ 2
= 15%
Answer:
d. six or seven
Explanation:
Given that:
Daily demand for the grip = 3000 units
average waiting time = 0.20 day
processing time = 0.10 day / container
a container holds = 150 grips
percentage of policy used = 10% = 0.10
The objective of this question is to determine the amount of Kanban containers would Jewel require.
the amount of Kanban containers = Demand ( wasting time + processing time)(1+percentage policy)/ amount of container holding
the amount of Kanban containers = 3000( 0.2 + 0.1) ( 1+ 0.10)/ 150
the amount of Kanban containers = 3000 ( 0.30) (1.10)/150
the amount of Kanban containers = 990/150
the amount of Kanban containers = 6.6
SO we can infer that the amount of Kanban containers would Jewel require if a 10% policy variable is used falls within the range of six or seven.