Answer: Proposal C
Explanation:
The way to solve this is to calculate the Present Values of all these payments. The smallest present value is the best.
Proposal A.
Periodic payment of $2,000 makes this an annuity.
Present value of Annuity = Annuity * ( 1 - ( 1 + r ) ^ -n)/r
= 2,000 * (1 - (1 + 0.5%)⁻⁶⁰) / 0.5%
= $103,451.12
Proposal B
Present value = Down payment + present value of annuity
= 10,000 + [2,200 * ( 1 - ( 1 + 0.5%)⁻⁴⁸) / 0.5%]
= 10,000 + 93,676.70
= $103,676.70
Proposal C
Present value = Present value of annuity + Present value of future payment
= [500 * (1 - (1 + 0.5%)⁻³⁶) / 0.5%] + [116,000 / (1 + 0.5%)⁶⁰]
= 16,435.51 + 85,999.17
= $102,434.68
<em>Proposal C has the lowest present value and so is best. </em>
Answer:
Image result for What does the rule of 72 tell us? What is the formula used? Amy heard Dave Ramsey say that she could expect an average of 12% returns when she invests in mutual funds. Amy has $10,000 to invest. How long will it take Amy’s investment to double?
Divide 72 by the interest rate on the investment you're looking at. The number you get is the number of years it will take until your investment doubles itself.
Explanation:
Answer:
B) $ 485 $ 170
Explanation
The cost of goods manufactured includes all the manufacturing costs in a given period adjusting for changes in work in process balances. The total manufacturing costs are $ 630 but this results in an increase in work in process inventory by $ 145, so in other words, part of the total manufacturing costs have gone towards increasing the work in process balance.
So the cost of goods manufactured is $ 630 - $ 145 = $ 485.
The cost of goods sold is the cost of goods manufactured above adjusted for changes in finished goods.
so the cost of goods sold is $ 485 - $ 315 ( change in finished goods inventory) = $ 170.
Answer:
A confidence estimate.
Explanation:
Confidence estimate is a statistical representation for the possiblity of occurance of any event. The confidence estimate is shown by using interval of estimate, it also known as confidence internal estimation. It show an approximate value of the unknown parameter of probablity distribution. It is useful as defence against judgmental biases.
