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3 years ago

What is y ? and how do you get it ?

Mathematics

1 answer:

JulsSmile [24]3 years ago

5 0

You first do the opposite of what 4 is. so subtract on both sides. next since y is already being divided by 5 you need to do the opposite which is multiplying. so multiply on both sides and your answer will be y=60

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The square shown has a perimeter of 32 units. The square

ivanzaharov [21]

Answer:

A cylinder with a circumference of about 60 units.

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3 years ago

Write the equation of the line that passes through the points (0,2) and (-1,-1):

slava [35]

Answer:

m = (2 - (-1)) / (0 - (-1)) = 3/1 = 3

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y = 3 * x + 2

6 0

3 years ago

State the translation rule describes the translation that is 4 units to the right and 3 units down

MaRussiya [10]

When you move down you subtract and when you move to the right you subtract when your moving up or to the left you add

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3 years ago

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Two angles are alternate interior angles. One has a measure of 85°. What is the measure of the other angle?

fiasKO [112]

I thought they would be the same so I would go with B. 85

3 0

2 years ago

An insurance company sells automobile liability and collision insurance. Let X denote the percentage of liability policies that

qaws [65]

Answer:

-764.28

Step-by-step explanation:

Given the joint cumulative distribution of X and Y as

$F(x,y) = \frac{xy(x+y)}{2000000}\ \ \ \, \ 0\leq x100, 0\leq y\leq 100$

#First find $F_x$ and probability distribution function , $f_x(x)$ :

$F_x(x)=F(x,100)\\\\\\=\frac{100x(x+100)}{2000000}\\\\\\\\=\frac{100x^2+10000x}{2000000}\\\\\\=>f_x(x)=\frac{x}{10000}+\frac{1}{200}$

#Have determined the probability distribution unction , $f_x(x)$ , we calculate the Expectation of the random variable X:

$E(X)=\int\limits^{100}_0 \frac{x^2}{10000}+\frac{x}{200} dx \\\\\\\\=|\frac{x^3}{30000}+\frac{x^2}{400}|\limits^{100}_0\\\\=58.33\\\\$

#We then calculate $E(X^2)$ :

$E(X^2)=\int\limits^{100}_0 \frac{x^3}{10000}+\frac{x^2}{200}\ dx\\\\=\frac{x^4}{40000}+\frac{x^3}{600}|\limits^{100}_0=4166.67\\\\Var(X)=E(X^2)-(E(X))^2=4166.67-58.33^2\\\\Var(X)=764.28$

Hence, the Var(X) is 764.28

4 0

3 years ago