Answer: False
Explanation:
Mr. Garcia should not accept the planner's ideas without critical evaluating the point the planner gave when he was discussing with him.
Mr Garcia should give his opinion on the issue raised by the planner and make inquiries so that the planner will give more detailed analysis regarding the investment.
The evidences gotten while discussing with him can be used to determine if the project is worth it or not.
Answer:
Dell's Production After Adjustment will be 2,041 units
Explanation:
According to the given data we have that Dell forecast for sales is 1856 and there considering the 10% reserve first we would need to calculate the number of units after the reserve of 10% as follows:
10% reserve units=0.10×1856=185 units
Therefore, total required units=1,856+185
total required units=2,041 units
Dell's Production After Adjustment will be 2,041 units
Answer:
$358,000
Explanation:
Calculation to determine how much cash should Sioux expect to collect during the month of April
April sales collected in April ($370,000 × 60%) $222,000
March sales collected in April ($340,000 × 40%) $136,000
Total cash collections in April $358,000
($222,000+$136,000)
Therefore the amount of cash that Sioux should expect to collect during the month of April is $358,000
Answer:
0.22 and substitutes goods
Explanation:
The computation of the cross-price elasticity of demand using mid point formula is shown below:
= (change in quantity demanded ÷ average of quantity demanded) ÷ (percentage change in price ÷ average of price)
where,
Change in quantity demanded is
= Q2 - Q1
= 180,603 - 194,108
= -13,505
And, the average of quantity demanded is
= (180,603 + 194,108) ÷ 2
= 187,356
Change in price is
= P2 - P1
= $2.43 - $3.36
= -$0.93
And, the average of price is
= ($2.43 + $3.36) ÷ 2
= 2.895
So, after solving this, the cross - price elasticity is 0.22
Since the cross - price elasticity is positive that reflect the goods are substitutes to each other
Answer: Data gap analysis.
Explanation:
A Data gap analysis occurs when an organization evaluates it's available data, and seek methods of improving data collection to meet up with business expectations. Data gap analysis is done to ensure that, an organization has the right information to enable them run operations effectively.
