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3 years ago

What is the equation of the additive relationship represented by this table.

Mathematics

2 answers:

DerKrebs [107]3 years ago

6 0

Answer:

sorry I did not mean to answer this i accidentaly clicked this. 0.0 i hope you don't get mad :(

Step-by-step explanation:

fredd [130]3 years ago

4 0

Your answer is y=x+2 because 2+2 is 4 and 4+2 is 6 so 2 is your rate of change

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Steven has 24 t-shirts. One third of the t-shirts are white, one fourth of the t-shirts are blue ; the remainder of the t-shirts

Black_prince [1.1K]

White t-shirts = 8, blue t-shirts =6 6+8=14 24-14=10 orange tshirts

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3 years ago

Please help me with this math

natulia [17]

The slope is -1/2 or -0.5

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2 years ago

What is the measure of LXZW? 850 150° Y 65° 95 Z 215° W 30°

Semenov [28]

Answer:

so the answer is 95°

Step-by-step explanation:

The two angles on a line add up to 180° or are supplementary, so we can find the inside angle x by doing 180-150=30°. Now that we know inside x is 30, if we add 30+65, we get 95, and 180-95=85°. Then to find angle xzw, just do 180-85 to get 95°.

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3 years ago

What is 39.5% written as a fraction in simplest forma?

ivann1987 [24]

First covert 39.5% to a decimal to get 0.395.
0.395 written as a fraction is $\frac{395}{1000}$
Simplify $\frac{395}{1000}$ to get $\frac{79}{200}$

6 0

4 years ago

. Let X and Y be random variables of possible percent returns (0%, 10%,

bazaltina [42]

(a) The marginal distribution of X is

Pr(X = x) = ∑ Pr(X = x, Y = y)

… = 0.0625 + 0.0625 + 0.0625 + 0.0625

… = 0.25

That is, the first equality follows from the law of total probability, with the sum taken over y from {0, 5, 10, 15}. Each probability Pr(X = x, Y = y) is given in the table to be 0.0625.

Similarly, the marginal distribution of Y is

Pr(Y = y) = 0.25

(b) Yes, they're independent because

Pr(X = x, Y = y) = 0.0625,

and

Pr(X = x) Pr(Y = y) = 0.25 • 0.25 = 0.0625.

E[X] = ∑ x Pr(X = x)

… = 0.25 ∑ x

… = 0.25 (0 + 5 + 10 + 15)

… = 7.5

and you would find the same mean for Y,

E[Y] = 7.5

The variance of X is

V[X] = E[X^2] - E[X]^2

… = (∑ x^2 Pr(X = x)) - 7.5^2

… = 0.25 (∑ x^2) - 56.25

… = 0.25 (0^2 + 5^2 + 10^2 + 15^2) - 56.25

… = 31.25

and similarly,

V[Y] = 31.25

(each sum is taken with x and y from {0, 5, 10, 15})

7 0

3 years ago