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Serhud [2]
3 years ago
12

27. You want to have $1 million in your savings account when you retire. You plan on investing a single lump sum today to fund t

his goal. You are planning on investing in an account which will pay 7.5 percent annual interest. Which of the following will reduce the amount that you must deposit today if you are to have your desired $1 million on the day you retire (there could be more than one answer)? A. Invest in a different account paying a higher rate of interest. B. Invest in a different account paying a lower rate of interest. C. Retire later. D. Retire sooner.
Business
1 answer:
Serjik [45]3 years ago
5 0

Answer:A and C

Explanation:

Interest is compounded in savings accounts and me to reduce the amount that I must deposit today and still have my desired $1 million on the day I retire then I should either, invest in a different account paying a higher rate of interest meaning the invested amount will be compounded at a higher rate thus my initial investment amount requirement reduced. Or, since compounded interest is a function of time, if I retire later, that would mean a longer time for my initial investment to compound to $1 million, thus reducing my initial investment amount requirement.

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3 years ago
The amount of something that is produced compared to the resources taken to product it is called _________.
Mariulka [41]
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3 years ago
Felice bought a duplex apartment at a cost of $235,000. Her mortgage payments on the property are $1,510 per month, $803 of whic
BartSMP [9]

Answer:

$1,032

Explanation:

Calculation to determine What monthly rent must she charge for each apartment to break even

First step is to calculate the Monthly costs using this formula

Monthly costs = Mortgage payment + Real estate taxes + Insurance costs + Maintenance costs

Let plug in the formula

Monthly costs=$1,510 + ($2,304 / 12) + ($1,452 / 12) + [2 ×($1,446 /12)]

Monthly costs= $1,510 + 192+ 121 + 241

Monthly costs= $2,064

Now let calculate the Break-even monthly rent per apartment

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3 0
3 years ago
The average price of homes sold in the U.S. in 2012 was $240,000. A sample of 144 homes sold in Chattanooga in 2012 showed an av
Ainat [17]

Answer:

H0 : Average price of homes sold in US = 24000 ; H1 : Average price of homes sold in US ≠ 24000

t  calculated value = 2 , t critical (tabulated) value = 1.96

calculated t > critical t . Null Hypothesis is rejected, It is concluded that 'Average price of homes sold in US ≠ 24000 '

Explanation:

Null Hypothesis : Average price of homes sold in US = 24000

Alternate Hypothesis : Average price of homes sold in US ≠ 24000

t = (x' - u) / (s / √n)

x' = sample mean = 246000 (given)

u = population mean = 240000 (given)

s = standard deviation = 36000

n = no. of observations = 144

t = (246000 - 240000) / (36000/√144)

6000/ (36000/12000) = 6000/3000

t = 2

Critical value for a two tailed test at 5% significance level, 0.025 in t distribution = 1.96

Since calculated value, 2 > tabulated or critical value at significance level, 1.96. So, we reject the null hypothesis. This implies that <u>'Average price of homes sold in US ≠ 24000</u>'

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Answer:

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