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xz_007 [3.2K]
2 years ago
6

Dana Thacker's bank granted her single payment loan of 10,450 she agreed to repay the loan in 75 days at an exact interest rate

of 8.25 percent. What is the maturity value of the loan? Need help ASAP
Mathematics
1 answer:
il63 [147K]2 years ago
4 0

Using simple interest, it is found that the maturity value of the loan is of 10,638.

<h3>Simple Interest</h3>

The amount of money after <em>t years </em>in simple interest is modeled by:

A(t) = A(0)(1 + rt)

In which:

  • A(0) is the initial amount.
  • r is the interest rate, as a decimal.

In this problem:

  • A loan of 10450 is taken, hence A(0) = 10450.
  • Interest rate of 8.25%, hence r = 0.0825
  • The loan will be repaid in 75 days, considering the time in years, t = \frac{75}{365}

Then, the maturity value of the loan is:

A(t) = A(0)(1 + rt)

A\left(\frac{75}{365}\right) = 10450\left[1 + 0.0875\frac{75}{365}\right] = 10638

The maturity value of the loan is of 10,638.

To learn more about simple interest, you can take a look at brainly.com/question/26207710

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Step-by-step explanation:

We are given that according to a marketing research study, American teenagers watched 14.8 hours of social media posts per month last year, on average. A random sample of 11 American teenagers was surveyed and the mean amount of time per month each teenager watched social media posts was 15.6. This data has a sample standard deviation of 2.5.

We have to test if the mean amount of time American teenagers watch social media posts per month is greater than the mean amount of time last year or not.

Let, NULL HYPOTHESIS, H_0 : \mu = 14.8 hours  {means that the mean amount of time American teenagers watch social media posts per month is same as the mean amount of time last year}

ALTERNATE HYPOTHESIS, H_1 : \mu > 14.8 hours  {means that the mean amount of time American teenagers watch social media posts per month is greater than the mean amount of time last year}

The test statistics that will be used here is One-sample t-test;

             T.S. = \frac{\bar X - \mu}{\frac{s}{\sqrt{n} } } ~ t_n_-_1

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