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MaRussiya [10]
3 years ago
12

Evaluate 3(5 - 8) - 7 -16 -7 2

Mathematics
1 answer:
SpyIntel [72]3 years ago
8 0
(not sure if its supposed to be - 72 or -7 - 2 or -7 + 2 so heres all three answers)

-72 : 3(5 - 8) - 7 - 16 - 72 = 15 - 24 - 7 - 16 - 72 = -104

-7 - 2 : 3(5 - 8) - 7 - 16 - 7 - 2 = 15 - 24 - 7 - 16 - 7 - 2 = -41

-7 + 2 : 3(5 - 8) - 7 - 16 - 7 + 2 = 15 - 24 - 7 - 16 - 7 + 2 = -37
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Step-by-step explanation:

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Step-by-step explanation:

First I do it as separate equations 2x-7=0 and 5x+3=0. In this equation you get two answers so you first answer 2x-7=0

2x-7=0

    +7   +7

2x=7

/2   /2

x=7/2

Then do 5x+3=0

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4 years ago
Using the definition of Covariance, Cov(X,Y) = E[(x – My)(Y – My)], prove the followings. a. Cov(X,Y) = E(XY) - Mx Hy b. Cov(X,Y
exis [7]

Answer:

Step-by-step explanation:

We have by definition

Cov(X,Y) = E[(x – M_x)(Y – M_y)]

where Mx and My are means of X and Y respectively

a) E[(x – M_x)(Y – M_y)]\\= E(x,y) - E(x,My)-E(y,Mx)+M_x M_y\\=E(x,y) -E(x) M_y -E(y) M_x +M_x M_y\\=E(x,y)-M_x M_y-M_x M_y+M_x M_y\\=E(x,y)-M_x M_y

b) Since right side inside expectation is commutative, we get cov(x,y) = cov (y,x)

c) cov (x,x) = E(x-M_x)(x-M_x) = E(x-M_x)^2\\= Var(X)

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f) Var(x+y) = E{(x-M_x)+(Y-M_y)}^2

Expanding inside we get

=Var(x)+var(y)+2 cov (x,y)

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Step-by-step explanation:

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