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Novay_Z [31]
1 year ago
15

John takes out a loan for $ 10 , 000 at a simple interest rate of 5 % to be paid back in 36 monthly installments.

Mathematics
1 answer:
andrew-mc [135]1 year ago
6 0

The monthly principal and interest payment John will pay monthly is $3,750.04

<h3>What is the amount of principal and interest repayment?</h3><h3 />

Given:

  • P = 10,000
  • i = 5% / (12 months) = 0.375
  • L = 36 months

M = 10000 \times  \frac{0.375}{ {1 - (1 + 0.375)}^{ - 36} }

M = 10000 \times  \frac{0.375}{ {1 - (1.375)}^{ - 36} }

M = 10000 \times  \frac{0.375}{ {1 - (0.00001049791)} }

M = 10000 \times  \frac{0.375}{ 0.99998950208 }

M = 10000  \times  0.37500393675

M = 3750.03936758

Approximately,

M = $3,750.04

Therefore, John will be be repaying $3,750.04 monthly including principal and interest

Read more on simple interest:

brainly.com/question/20690803

#SPJ1

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The hour hand of a clock is 3 feet long. How many feet does
dem82 [27]

Answer:

2π feet

Step-by-step explanation:

9:30 PM to 1:30 AM is 4 hours.

It is 1/3 of a complete revolution.

A full 12 hours would be 2×r×π=2×3×π

1/3 of that is:

1/3×2×3×π=2π

≈6.283185307 feet

3 0
3 years ago
The College Board SAT college entrance exam consists of three parts: math, writing and critical reading (The World Almanac 2012)
Wittaler [7]

Answer:

Yes, there is a difference between the population mean for the math scores and the population mean for the writing scores.

Test Statistics =   \frac{Dbar - \mu_D}{\frac{s_D}{\sqrt{n} } } follows t_n_-  _1 .

Step-by-step explanation:

We are provided with the sample data showing the math and writing scores for a sample of twelve students who took the SAT ;

Let A = Math Scores ,B = Writing Scores  and D = difference between both

So, \mu_A = Population mean for the math scores

       \mu_B = Population mean for the writing scores

 Let \mu_D = Difference between the population mean for the math scores and the population mean for the writing scores.

            <em>  Null Hypothesis, </em>H_0<em> : </em>\mu_A = \mu_B<em>     or   </em>\mu_D<em> = 0 </em>

<em>      Alternate Hypothesis, </em>H_1<em> : </em>\mu_A \neq  \mu_B<em>      or   </em>\mu_D \neq<em> 0</em>

Hence, Test Statistics used here will be;

            \frac{Dbar - \mu_D}{\frac{s_D}{\sqrt{n} } } follows t_n_-  _1    where, Dbar = Bbar - Abar

                                                               s_D = \sqrt{\frac{\sum D_i^{2}-n*(Dbar)^{2}}{n-1}}

                                                               n = 12

Student        Math scores (A)          Writing scores (B)         D = B - A

     1                      540                            474                                   -66

     2                      432                           380                                    -52  

     3                      528                           463                                    -65

     4                       574                          612                                      38

     5                       448                          420                                    -28

     6                       502                          526                                    24

     7                       480                           430                                     -50

     8                       499                           459                                   -40

     9                       610                            615                                       5

     10                      572                           541                                      -31

     11                       390                           335                                     -55

     12                      593                           613                                       20  

Now Dbar = Bbar - Abar = 489 - 514 = -25

 Bbar = \frac{\sum B_i}{n} = \frac{474+380+463+612+420+526+430+459+615+541+335+613}{12}  = 489

 Abar =  \frac{\sum A_i}{n} = \frac{540+432+528+574+448+502+480+499+610+572+390+593}{12} = 514

 ∑D_i^{2} = 22600     and  s_D = \sqrt{\frac{\sum D_i^{2}-n*(Dbar)^{2}}{n-1}} = \sqrt{\frac{22600 - 12*(-25)^{2} }{12-1} } = 37.05

So, Test statistics =   \frac{Dbar - \mu_D}{\frac{s_D}{\sqrt{n} } } follows t_n_-  _1

                            = \frac{-25 - 0}{\frac{37.05}{\sqrt{12} } } follows t_1_1   = -2.34

<em>Now at 5% level of significance our t table is giving critical values of -2.201 and 2.201 for two tail test. Since our test statistics doesn't fall between these two values as it is less than -2.201 so we have sufficient evidence to reject null hypothesis as our test statistics fall in the rejection region .</em>

Therefore, we conclude that there is a difference between the population mean for the math scores and the population mean for the writing scores.

8 0
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hram777 [196]

21 divided by 7 is 3 so each candy bar equals 3 dollars

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Step-by-step explanation:

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