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BaLLatris [955]
2 years ago
11

Y=⅔x+4 written in standard form

Mathematics
2 answers:
Verdich [7]2 years ago
5 0

Answer:

I think it is 2x-3y=-12 not sure but try it

Ber [7]2 years ago
5 0
2x-3y= -12 that is the answer
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Find the area of quadrilateral ABCD
andreev551 [17]

Answer:

<em>A ≈ 28.5</em>

Step-by-step explanation:

a, b, c

P = a + b + c

Semiperimeter s = \frac{a+b+c}{2}

A = \sqrt{s(s-a)(s-b)(s-c)}

~~~~~~~~~~~~~~~

P_{ABC} = 4.3 + 2.89 + 6.81 = 14

s = 14 ÷ 2 = 7

A_{ABC} = \sqrt{7(7-4.3)(7-2.89)(7-6.81)} = √14.75901 ≈ 3.84

P_{BCD} = 8.59 + 7.58 + 6.81 = 22.98

s = 22.98 ÷ 2 = 11.49

A_{BCD} = \sqrt{11.49(11.49-8.59)(11.49-7.58)(11.49-6.81)} = √609.7343148 ≈ 24.6928

A_{ABCD} = 3.84 + 24.6928 ≈ <em>28.5</em>

3 0
2 years ago
Solve the equation for w. x=w/a
Allisa [31]

Answer:

<h3>w=xa</h3>

Step-by-step explanation:

Rewrite the equation as w/a=x

w/a=x

Multiply both sides of the equation by a

w=x*(a)

Multiply x by a

w=xa

<em>Hope this helped!</em>

5 0
2 years ago
Multiply<br> 3x( 4x – 3x+5)
Daniel [21]

Answer:

The answer is 3x^(2)+15x

7 0
3 years ago
Read 2 more answers
Last help please help read the instructions​
Kruka [31]

Answer:

Step-by-step explanation:

1) elimination

2) elimination

3)add

4)subtract

5) Variable

6) add

7) eliminate

8) subtract

9) eliminate

10) adding

11) adding

12) 2

13)2

14) 0

15) (2 , 0)

16) (2 , 0)

17) solution

4 0
3 years ago
The number of people in a car that crosses a certain bridge is represented by the random variable X, which has a mean value μX =
Alona [7]

Let Y be the total amount of money paid by any given set of passengers. If there are X passengers in a car, then the driver must pay a toll of Y=0.5X+3.

Then Y has first moment (equal to the mean)

E[Y]=E[0.5X+3]=0.5E[X]+3E[1]=0.5\mu_X+3=\boxed{4.35}

and second moment

E[Y^2]=E[0.25X^2+3X+9]=0.25E[X^2]+3E[X]+9E[1]=0.25E[X^2]+3\mu_X+9

Recall that the variance is the difference between the first two moments:

\mathrm{Var}[X]=E[X^2]-E[X]^2\implies E[X^2]={\sigma^2}_X+{\mu_X}^2

\implies E[Y^2]=0.25({\sigma^2}_X+{\mu_X}^2)+3\mu_X+9\approx19.22

\implies\mathrm{Var}[Y]=E[Y^2]-E[Y]^2=\boxed{0.3}

3 0
3 years ago
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