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3 years ago

The slope of BY is -1/5, and BYllJE What is the slope of JE? -5 -1/5 1/5 5

Mathematics

2 answers:

Zigmanuir [339]3 years ago

7 0

Parallel lines have the same slope, so the answer is -1/5

Natasha_Volkova [10]3 years ago

4 0

I believe "BY || JE" means that those two lines are congruent, which means the slope of JE would be the same as the slope of BY. So in this case the answer should be B. -1/5.

I hope this helped.

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The y intercept is (0,3)?

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Answer:

False, the y-intercept is (0,0).

Step-by-step explanation:

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3 years ago

Find x A. 4√6 B. 4√6/3 C. 16√6/3 D. 32√3/3

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Step-by-step explanation:

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3 years ago

Which expression is equivalent to 144 superscript three-halves?

IrinaK [193]

Using the law of indices the equivalent expression of $144^{\frac{3}{2} }$ is 1728

<h3>How to find equivalent expression?</h3>

The equivalent expression of $144^{\frac{3}{2} }$ can be express as follows:

Using the law of indices,

$(a^{b} )^{c} = a^{bc}$

Applying this laws,

$144^{\frac{3}{2} }=(12^{2} )^{\frac{3}{2} }$

Hence,

$144^{\frac{3}{2} }=(12^{2} )^{\frac{3}{2} } = 12^{3}$

Finally,

12³ = 1728

learn more on expression here: brainly.com/question/16619965

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2 years ago

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You randomly choose one hat from 3 green hats, 4 black hats, 2 white hats, 2 red hats, and 1 blue hat. What is the probability o

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Answer:

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Step-by-step explanation:

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3 years ago

Read 2 more answers

. 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})

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3 years ago