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r-ruslan [8.4K]
3 years ago
10

Help pls I will mark brainliest!!!

Mathematics
1 answer:
Sonbull [250]3 years ago
5 0

Answer:

7.5

Step-by-step explanation:

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What is the area of the figure?
Sonja [21]

Answer:

33\frac{1}{2}

Step-by-step explanation:

Calculate the area of the large figure by multiplying the length and the width (7\frac{1}{4}*6). Then, calculate the area of the smaller figure (5*3\frac{2}{3}). Finally subtract  the area of the smaller figure from the area of the larger figure. ((7\frac{1}{4}*6)-(5*3\frac{2}{3})

Hope this helps!

5 0
4 years ago
If ΔP′QR′ is a dilated image of ΔPQR, find the scale factor (k) and then find the value of x. answers: A) 7 B) 10.7 C) 6 D) 73.5
Black_prince [1.1K]

Answer:

see explanation

Step-by-step explanation:

To find k, calculate the ratio of corresponding sides, image to original, that is

k = \frac{P'R'}{PR} = \frac{8}{28} = \frac{2}{7}

Thus

QR' = \frac{2}{7} × QR = \frac{2}{7} × 21 = 2 × 3 = 6 , that is

x = 6 → C

5 0
3 years ago
How would you explain 2-3? (Site 1)
balandron [24]
1-2 is -1

I think that is the answer
4 0
4 years ago
7x²x + 3x3 – 2x²(x² + 2x - 1)​
Bad White [126]

Answer:

− 2 x^ 4  + 6 x^ 3  +  2 x^ 2

Step-by-step explanation:

3 0
4 years ago
Suppose X, Y, and Z are random variables with the joint density function f(x, y, z) = Ce−(0.5x + 0.2y + 0.1z) if x ≥ 0, y ≥ 0, z
kompoz [17]

a.

f_{X,Y,Z}(x,y,z)=\begin{cases}Ce^{-(0.5x+0.2y+0.1z)}&\text{for }x\ge0,y\ge0,z\ge0\\0&\text{otherwise}\end{cases}

is a proper joint density function if, over its support, f is non-negative and the integral of f is 1. The first condition is easily met as long as C\ge0. To meet the second condition, we require

\displaystyle\int_0^\infty\int_0^\infty\int_0^\infty f_{X,Y,Z}(x,y,z)\,\mathrm dx\,\mathrm dy\,\mathrm dz=100C=1\implies \boxed{C=0.01}

b. Find the marginal joint density of X and Y by integrating the joint density with respect to z:

f_{X,Y}(x,y)=\displaystyle\int_0^\infty f_{X,Y,Z}(x,y,z)\,\mathrm dz=0.01e^{-(0.5x+0.2y)}\int_0^\infty e^{-0.1z}\,\mathrm dz

\implies f_{X,Y}(x,y)=\begin{cases}0.1e^{-(0.5x+0.2y)}&\text{for }x\ge0,y\ge0\\0&\text{otherwise}\end{cases}

Then

\displaystyle P(X\le1.375,Y\le1.5)=\int_0^{1.5}\int_0^{1.375}f_{X,Y}(x,y)\,\mathrm dx\,\mathrm dy

\approx\boxed{0.12886}

c. This probability can be found by simply integrating the joint density:

\displaystyle P(X\le1.375,Y\le1.5,Z\le1)=\int_0^1\int_0^{1.5}\int_0^{1.375}f_{X,Y,Z}(x,y,z)\,\mathrm dx\,\mathrm dy\,\mathrm dz

\approx\boxed{0.012262}

7 0
3 years ago
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