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enyata [817]
4 years ago
11

PLEEEEEEEAAAAAAASSSSSSSSSSEEEEEEEEEEE help me!!!!!!!!!!

Mathematics
1 answer:
defon4 years ago
7 0

Answer:

\boxed{\sf \ \ \ \dfrac{18}{(x-7)(x+12)(x+30)} \ \ \ }

Step-by-step explanation:

hello,

first of all we will study the quadratic expressions

we can write that, (the different answers provide good clues :-) )

x^2+5x-84=(x-7)(x+12)

and

x^2+23x-210=(x-7)(x+30)

so first of all as we cannot divide by 0 we need to take x different from 7, -12 and -30 and then we can write

\dfrac{1}{x^2+5x-48}-\dfrac{1}{x^2+23x-210}=\dfrac{1}{(x-7)(x+12)}-\dfrac{1}{(x-7)(x+30)}\\\\=\dfrac{(x+30) -(x+12)}{(x-7)(x+12)(x+30)}=\dfrac{x+30-x-12}{(x-7)(x+12)(x+30)}\\\\=\dfrac{18}{(x-7)(x+12)(x+30)}

hope this helps

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In 2014, the enrollment at Luling High School was 625 students. In 2015, the enrollment grew to 650. By what percentage did the
Inessa05 [86]

Answer:

\%Increase = 4\%

Step-by-step explanation:

Given

Initial\ Population = 625

Final\ Population = 650

Required

Determine the percentage population increase

This is calculated using the following formula:

\%Increase = \frac{Final - Initial}{Initial} * 100\%

\%Increase = \frac{650 - 625}{625} * 100\%

\%Increase = \frac{25}{625} * 100\%

\%Increase = \frac{25* 100\%}{625}

\%Increase = \frac{2500\%}{625}

\%Increase = 4\%

<em>Hence, there is a 4% increment from 2014 to 2015</em>

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3 years ago
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3 years ago
What is the absolute number of 9.8 -10/3
ratelena [41]
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3 0
3 years ago
The floor of a canyon has an elevation of −14.5−14.5 feet. Erosion causes the elevation to change by −1.5−1.5 feet per year. How
Alona [7]
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4 years ago
Use the given information to find the minimum sample size required to estimate an unknown population mean μ
Nastasia [14]

Answer:

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Step-by-step explanation:

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The z-score for 95% confidence level from the z-table = z = 1.96

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Sample size = n  = ?

The formula to calculate the margin of error is:

E=\frac{z \sigma}{\sqrt{n} }

Re-arranging the equation, we get:

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Thus, we need a sample size of 94 to estimate an unknown population mean μ

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