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Andrej [43]
2 years ago
7

11/12 + 4/9 simplified

Mathematics
1 answer:
nordsb [41]2 years ago
6 0

Step-by-step explanation:

=  \frac{11}{12}  +  \frac{4}{9} \\

=  \frac{11}{12}  \times  \frac{3}{3}  +  \frac{4}{9}  \times  \frac{4}{4}  \\

=  \frac{33}{36}  +  \frac{16}{36}  \\

=  \frac{49}{36}  \\

= 1 \frac{13}{36}  \\

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a customer purchases windows for $15,000 using a credit card. If the interest is compounded monthly at a rate of 16% per year, h
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Answer:

≈ $9164.35

Step-by-step explanation:

The future amount A is calculated as

A = P (1+\frac{r}{n}) ^{nt}

P is the Principle

r is interest rate

n is number of times per year compounding happens

t is the number of years

Here P = 15000 , r = 16% = 0.16, n = 12 , t = 3

A = 15000 (1+\frac{0.16}{12}) ^{(12(3))}

   = 15000 ((1.01333)^{36}

   ≈ 24164.35

Interest paid = $24164.35 - $15000 = $9164.35

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It should be B $250 - - - - -

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if it takes 10 minutes for 15 machines to make 5 widgets, how many minutes would it take 5 machines to make 15 widgets
pshichka [43]

The number of minutes it will take 5 machines to make 15 widgets is 90 minutes

Given that :

The time taken to make a widget is directly proportional to the number of widgets made and inversely proportional to the number of machines utilized.

Using the variation protocol defined :

Let :

n = number of widgets made

n = number of widgets made m = number of machines used

n = number of widgets made m = number of machines used t = time taken

Hence, from joint variation :

t α n α 1/m

t = kn/m

Where k = constant of proportionality :

Solving for k

When t = 10, n = 5, m = 15

10 = (k × 5) / 15

15 × 10 = 5k

150 = 5k

k = 150 / 5

k = 30

Equation becomes :

t = 30n/m

Solve for t ;

When m = 5 ; n = 15

t = (30 × 15) / 5

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t = 450 / 5

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Learn more : brainly.com/question/18796573

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Use Identities to find the exact value.<br> cos 165°
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Check photo for answer
———————————-

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The probability distribution of a random variable X is given. x 1 2 3 4 P(X = x) 0.4 0.1 0.3 0.2 Compute the mean, variance, and
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Mean:

E(X) = \displaystyle \sum_{x\in\{1,2,3,4\}}x\,P(X=x) = 1\times0.4 + 2\times0.1 + 3\times0.3 + 4\times0.2 = \boxed{2.3}

Variance:

\displaystyle V(X) = E\left((X-E(X))^2\right) = E(X^2) - E(X)^2 \\\\ E(X^2) = \sum_{x\in\{1,2,3,4\}}x^2\,P(X=x) = 1^2\times0.4 + 2^2\times0.1 + 3^2\times0.3 + 4^2\times0.2 = 6.7 \\\\ \implies V(X) = 6.7 - 2.3^2 = \boxed{1.41}

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