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dangina [55]
2 years ago
11

Helpppppppppppppppppppp

Mathematics
1 answer:
Sloan [31]2 years ago
6 0

Answer:

Sum of \frac{7x}{x^2-4} and \frac{2}{x+2} is \mathbf{\frac{9x-4}{x^2-4}}

Option B is correct answer.

Step-by-step explanation:

We need to find sum of \frac{7x}{x^2-4} and \frac{2}{x+2}

Finding sum of  \frac{7}{x^2-4} and \frac{2}{x+2}:

\frac{7x}{x^2-4}+\frac{2}{x+2}

We know that x^2-4 =(x+2)(x-2)

Replacing x^2-4

\frac{7x}{(x+2)(x-2)}+\frac{2}{x+2}

Now, taking LCM of (x+2)(x-2) and (x+2) we get (x+2)(x-2)

=\frac{7x+2(x-2)}{(x+2)(x-2)}\\=\frac{7x+2x-4}{(x+2)(x-2)}\\=\frac{9x-4}{(x+2)(x-2)}\\=\frac{9x-4}{x^2-4}

So, Sum of \frac{7x}{x^2-4} and \frac{2}{x+2} is \mathbf{\frac{9x-4}{x^2-4}}

Option B is correct answer.

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Alona [7]

Answer:

71.4

Step-by-step explanation:

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3 years ago
PLS HELP MEEEEEEEEE pls i make brain
Degger [83]

Answer:

1) 0.75

2) y = \frac{3}{4}x - 3

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Step-by-step explanation:

Convert to slope-intercept form (y = mx + b) by solving:

y = \frac{3}{4}x - 3

m is the slope, so \frac{3}{4} or you can write as 0.75.

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3 0
2 years ago
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bixtya [17]

Answer:

12

Step-by-step explanation:

a2 b

(    )2 (  )

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7 0
3 years ago
Which comparison is not correct?<br> -8&lt;1-41<br> 1-21 &lt;1-91<br> 1-7]&gt;-9<br> |81 &gt; 1-91
Savatey [412]

Answer:

I'm pretty sure it is C

Step-by-step explanation:

6 0
2 years ago
A human resources representative claims that the proportion of employees earning more than $50,000 is less than 40%. To test thi
bearhunter [10]

Answer:

The statistic for this case would be:

z=\frac{\hat p -p_o}{\sqrt{\frac{\hat p(1-\hat p)}{n}}}

And replacing we got:

z= \frac{0.436-0.4}{\sqrt{\frac{0.436*(1-0.436)}{700}}}= 1.92

Step-by-step explanation:

For this case we have the following info:

n =700 represent the sample size

X= 305 represent the number of employees that earn more than 50000

\hat p=\frac{305}{700}= 0.436

We want to test the following hypothesis:

Nul hyp. p \leq 0.4

Alternative hyp : p>0.4

The statistic for this case would be:

z=\frac{\hat p -p_o}{\sqrt{\frac{\hat p(1-\hat p)}{n}}}

And replacing we got:

z= \frac{0.436-0.4}{\sqrt{\frac{0.436*(1-0.436)}{700}}}= 1.92

And the p value would be given by:

p_v = P(z>1.922)= 0.0274

4 0
3 years ago
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