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iris [78.8K]
3 years ago
9

Bob makes his first $ 1, 100 deposit into an IRA earning 6.8 % compounded annually on his 24th birthday and his last $1, 100 dep

osit on his 36th birthday ​(13 equal deposits in​ all). With no additional​ deposits, the money in the IRA continues to earn 6.8 % interest compounded annually until Bob retires on his 65th birthday. How much is in the IRA when Bob​ retires?
Mathematics
1 answer:
finlep [7]3 years ago
6 0

Answer:

$133991.2

Step-by-step explanation:

Bob makes his first $1000 deposit into an IRA earning 6.8% compounded annually on his 24th birthday and his last $1000 deposit on his 36th birthday (13 equal deposits in all).

Therefore, till his retirement on his 65th birthday, the first deposit of $1000 will compound for (65 - 24) = 41 years.

His second deposit of $1000 will compound for 40 years and so on up to his 13th deposit of $1000, which will be compounded for ( 65 - 36) = 29 years.

Therefore, after retirement in his IRA there will be total

$[1000(1 + \frac{6.8}{100} )^{41} + 1000(1 + \frac{6.8}{100} )^{40} + 1000(1 + \frac{6.8}{100} )^{39} + ........ + 1000(1 + \frac{6.8}{100} )^{29}] dollars

= $1000[1.068^{41} + 1.068^{40} + 1.068^{39} + .......... + 1.068^{29}]

So, this is a G.P. whose number of terms is 13, the first term is 1.068^{29} and common ratio is 1.068, then using formula for sum of G.P. we get,

= $1000\times (1.068)^{29} [\frac{(1.068)^{13} - 1}{1.068 - 1} ]

= $(1000 \times 6.74 \times 19.88)

= $133991.2 (Answer)

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Nationally, patients who go to the emergency room wait an average of 7 hours to be admitted into the hospital. Do patients at ru
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  1. For this study, we should use t-test and the null and alternative hypotheses would be given by H₀: μ = 7 and H₁: μ < 7.
  2. The test statistic is -1.941 and the p-value (0.0381) is <u>greater than</u> α = 0.01.
  3. Based on this, we should <u>fail to reject</u> the null hypothesis.
  4. Thus, the final conclusion is that the data suggest the population mean is not significantly lower than 7 at α = 0.01, so there is statistically insignificant evidence to conclude that the population mean waiting time to be admitted into the hospital from the emergency room for patients at rural hospitals is equal to 7 hours.

<h3>What is a null hypothesis?</h3>

A null hypothesis (H₀) can be defined the opposite of an alternate hypothesis (H₁) and it asserts that two (2) possibilities are the same.

<h3>How to calculate value of the test statistic?</h3>

The test statistics can be calculated by using this formula:

t=\frac{x\;-\;u}{\frac{\delta}{\sqrt{n} } }

<u>Where:</u>

  • x is the sample mean.
  • u is the mean.
  • is the standard deviation.
  • n is the number of hours.

For this study, we should use t-test and the null and alternative hypotheses would be given by:

H₀: μ = 7

H₁: μ < 7

t=\frac{6.3\;-\;7}{\frac{1.3}{\sqrt{13} } }\\\\t=\frac{-0.7}{\frac{1.3}{3.6056 } }

t = -0.7/0.3606

t = -1.941.

For the p-value, we have:

P-value = P(t < -1.9412)

P-value = 0.0381.

Therefore, the p-value (0.0381) is <u>greater than</u> α = 0.01. Based on this, we should <u>fail to reject</u> the null hypothesis.

Thus, the final conclusion is that the data suggest the population mean is not significantly lower than 7 at α = 0.01, so there is statistically insignificant evidence to conclude that the population mean waiting time to be admitted into the hospital from the emergency room for patients at rural hospitals is equal to 7 hours.

Read more on null hypothesis here: brainly.com/question/14913351

#SPJ1

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