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Nuetrik [128]
3 years ago
10

The graph of a system of inequalities is shown.

Mathematics
2 answers:
dangina [55]3 years ago
8 0

Answer:

The system is

x+2y \leq -8

y> 2x

Step-by-step explanation:

Part 1

<u><em>Find the equation of the first inequality</em></u>

we know that

The first line is a solid line with negative slope passing through the points (-6,-1) and (0,-4)

The slope is equal to

m=(-4+1)/(0+6)\\m=-0.5

The equation of the solid line in slope intercept form is

y=-0.5x-4

Everything below the line is shaded

so

The inequality is

y \leq -0.5x-4

Convert to standard form

Adds 0.5x both sides

0.5x+y \leq -4

Multiply by 2 both sides

x+2y \leq -8 -----> First inequality

Part 2

<u><em>Find the equation of the second inequality</em></u>

we know that

The second line is a dashed line with positive slope passing through the points (-2,-4) and (0,0)

This line represent a proportional relationship, because the line passes through the origin

The slope is equal to the constant of proportionality

k=(-4)/(-2)=2

The equation of the dashed line is

y=2x

Everything to the left of the line is shade

so

The inequality is

y> 2x -----> Second inequality

see the attached figure to better understand the problem

Anni [7]3 years ago
6 0

Answer:

the correct anwser is A.......

     y > 2x

x + 2y ≤ –8               just took the  unit test

Step-by-step explanation:

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A professor pays 25 cents for each blackboard error made in lecture to the student who pointsout the error. In a career ofnyears
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Answer:

(a) The probability that <em>Y</em>₂₀ exceeds 1000  is 3.91 × 10⁻⁶.

(b) <em>n</em> = 28.09

Step-by-step explanation:

The random variable <em>Y</em>ₙ is defined as the total numbers of dollars paid in <em>n</em> years.

It is provided that <em>Y</em>ₙ can be approximated by a Gaussian distribution, also known as Normal distribution.

The mean and standard deviation of <em>Y</em>ₙ are:

\mu_{Y_{n}}=40n\\\sigma_{Y_{n}}=\sqrt{100n}

(a)

For <em>n</em> = 20 the mean and standard deviation of <em>Y</em>₂₀ are:

\mu_{Y_{n}}=40n=40\times20=800\\\sigma_{Y_{n}}=\sqrt{100n}=\sqrt{100\times20}=44.72\\

Compute the probability that <em>Y</em>₂₀ exceeds 1000 as follows:

P(Y_{n}>1000)=P(\frac{Y_{n}-\mu_{Y_{n}}}{\sigma_{Y_{n}}}>\frac{1000-800}{44.72})\\=P(Z>  4.47)\\=1-P(Z

**Use a <em>z </em>table for probability.

Thus, the probability that <em>Y</em>₂₀ exceeds 1000  is 3.91 × 10⁻⁶.

(b)

It is provided that P (<em>Y</em>ₙ > 1000) > 0.99.

P(Y_{n}>1000)=0.99\\1-P(Y_{n}

The value of <em>z</em> for which P (Z < z) = 0.01 is 2.33.

Compute the value of <em>n</em> as follows:

z=\frac{Y_{n}-\mu_{Y_{n}}}{\sigma_{Y_{n}}}\\2.33=\frac{1000-40n}{\sqrt{100n}}\\2.33=\frac{100}{\sqrt{n}}-4\sqrt{n}  \\2.33=\frac{100-4n}{\sqrt{n}} \\5.4289=\frac{(100-4n)^{2}}{n}\\5.4289=\frac{10000+16n^{2}-800n}{n}\\5.4289n=10000+16n^{2}-800n\\16n^{2}-805.4289n+10000=0

The last equation is a quadratic equation.

The roots of a quadratic equation are:

n=\frac{-b\pm\sqrt{b^{2}-4ac}}{2a}

a = 16

b = -805.4289

c = 10000

On solving the last equation the value of <em>n</em> = 28.09.

8 0
3 years ago
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