Answer:
B. The trend between the present and future values of an investment
Answer:
77.08%
Explanation:
Calculation to Evaluate the change in productivity for Aztec using the new assembly process
Using this formula
Change in productivity =[( Increased in production- Dropped in defective items produced)-(Previous pieces of furniture per day-Dropped in defective items produced)]/-(Previous pieces of furniture per day-Dropped in defective items produced)*100
Let plug in the formula
Change in productivity =[(90 pieces per day-5 per day)-(60 pieces per day-12 pieces per day )/(60 pieces per day-12 pieces per day) *100
Change in productivity =(85-48)/48*100
Change in productivity =37/48*100
Change in productivity =0.7708*100
Change in productivity =77.08%
Therefore the change in productivity for Aztec using the new assembly process will be 77.08% Increase in productivity.
The answer is a statement of future intent. It is a statement
of an intention has to do something in the future is not an offer. Agreements
to agree arise when two parties are conversing an event involving future
transactions which are still in progress. A statement of future intent is not a
legally binding contract. It only designates an agreement by the two parties
involved in the negotiation to attempt to form a future agreement. An agreement
to agree is not binding if the matter under discussion is still in argument.
Answer:
$120
Explanation:
The total revenue brought to the company by this employee is:
$350 + $250 = <em>$600</em>
Since he/she earns a 20% commission on the goods sold, this particular employee will receive:
$600 * 0.2 = $120
*0.2 is the multiplier when it's 20%
In other words, he/she earns $20 out of each $100 in sold goods. Since his/hers total sold goods consist out of 6 factors of $100, the same proportion will apply to the commision, that is $20 * 6 = $120.
Answer: D. Capacity is easy to predict
Explanation:
Aggregate planning for services involves organising the business areas of companies engaging in service provision or operation companies that also provide a service.
It is generally held that demand is difficult to predict and most services can be inventoried. It is also held that labor is the most constraining resource.
However, capacity in aggregate planning for services is not easy to predict. This is because services are not standadized and are instead varied and mostly unique. Therefore knowing the capacity to give to a service becomes hard to predict.
