Answer:
It depends
Explanation: If the quota is a lower value than the current level of japan sales, the equilibrium price will go up, because the supply will be lower than the demand pushing the price to rise and incentivizing other car suppliers to increase the offer. If the quota is higher than the current sales of Japanese cars, and if the demand keeps pushing the supply to go up, the market share of Japanese car will grow until meeting the quota. The price will go up until achieve equilibrium again. After that point, the market supply will be based on changes in the market no related to Japanese imports.
Answer:
charitable contribution deduction = $153000
Explanation:
given data
basis = $136,000
fair market value = $170,000
solution
we get here charitable contribution deduction that is express as
charitable contribution deduction = Basis + 50% of (Fair - basis) .......................1
put here value and we get
charitable contribution deduction = $136,000 + 0.50 ($170,000 - $136,000 )
charitable contribution deduction = $153000
Answer:
It is more profitable to raise the selling price by $2.
Explanation:
To determine whether the company should raise the selling price, we need to determine the effect on income. <u>The best option is the one with the higher sales revenue.</u>
Sales revenue= selling price * number of units
<u>Current:</u>
Sales revenue= 5.5*2,200= $12,100
<u>Proposal:</u>
Sales revenue= 7.5*1,800= $13,500
It is more profitable to raise the selling price by $2.
Answer:The analysis must be incorrect because the total score should sum up to 1
Explanation: Analytical Hierarchy process is a mathematical model used in determining the viability of a process from sets of process using set criterion ,these criteria are selected such that it determine the like hood of success of the project,the number written above represent the weight of each of the process ,the overall weight of the criterion is always when summed up.
The weight represents the likelihood of the events happening or being successful.
Answer: Data mining
Explanation: Patterns and relationships as indicated are discovered through a technique known as data mining, which is defined as the use of a variety of statistical analysis tools in marketing research to uncover previously unknown patterns in data or relationships among variables. It is also given as a technique for searching large scale databases for patterns; used mainly to find previously unknown correlations between variables that may be commercially useful.