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Contact [7]
3 years ago
8

Question 12

Mathematics
1 answer:
katovenus [111]3 years ago
3 0

s = 50d + 25

55 = 50d + 25

55 - 25 = 50d + 25 - 25

30 = 50d

\frac{30}{50} =  \frac{50d}{50}

0.6 = d

Your car would slide a distance of 0.6 feet.

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Estimation is always helpful when it comes to math. By estimating, you will have a good idea with what the final answer should be before you actually get it. This way, you will hopefully be able to have a good sense of whether the answer is wrong
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Compare the linear functions expressed below by data in a table and by an equation.
kondor19780726 [428]

Answer:

b,c,e

Step-by-step explanation:

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Which inequality is graphed below?
krok68 [10]

ANSWER

y  \geqslant  \frac{1}{4} x - 1

EXPLANATION

The graph has a solid boundary line.

The region above the boundary line is shaded

Therefore the inequality sign involved is '≥'

The boundary line has equation

y =  \frac{1}{4} x - 1

We can now conclude that, the inequality graphed above is

y  \geqslant  \frac{1}{4} x - 1

7 0
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 <em>X</em> is

Pr(<em>X</em> = <em>x</em>) = ∑ Pr(<em>X</em> = <em>x</em>, <em>Y</em> = <em>y</em>)

… = 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 <em>y</em> from {0, 5, 10, 15}. Each probability Pr(<em>X</em> = <em>x</em>, <em>Y</em> = <em>y</em>) is given in the table to be 0.0625.

Similarly, the marginal distribution of <em>Y</em> is

Pr(<em>Y</em> = <em>y</em>) = 0.25

(b) Yes, they're independent because

Pr(<em>X</em> = <em>x</em>, <em>Y</em> = <em>y</em>) = 0.0625,

and

Pr(<em>X</em> = <em>x</em>) Pr(<em>Y</em> = <em>y</em>) = 0.25 • 0.25 = 0.0625.

(c) The mean of <em>X</em> is

E[<em>X</em>] = ∑ <em>x</em> Pr(<em>X</em> = <em>x</em>)

… = 0.25 ∑ <em>x</em>

<em>… </em>= 0.25 (0 + 5 + 10 + 15)

… = 7.5

and you would find the same mean for <em>Y</em>,

E[<em>Y</em>] = 7.5

The variance of <em>X</em> is

V[<em>X</em>] = E[<em>X</em>^2] - E[<em>X</em>]^2

… = (∑ <em>x</em>^2 Pr(<em>X</em> = <em>x</em>)) - 7.5^2

… = 0.25 (∑ <em>x</em>^2) - 56.25

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

… = 31.25

and similarly,

V[<em>Y</em>] = 31.25

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

7 0
3 years ago
Shaun has a set of blocks. When he separates the blocks into groups of 21, he has 34 groups of blocks. How many groups of blocks
joja [24]

So if I had this problem I would multiply 21 x 34= 714 then I would divide it by 14 which would get me 51. There would be 51 blocks in each group!

8 0
4 years ago
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