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xxMikexx [17]
3 years ago
7

Factor 5x 4 - 30x 2 - 135.

Mathematics
2 answers:
Alex787 [66]3 years ago
5 0
5x^4 - 30x^2 - 135 \\ \\ GCF = 5 \\ \\ 5( \frac{5x^4}{5} +  \frac{-30x^2}{5} -  \frac{135}{5} ) \\ \\ 5(x^2 - 6x^2 - 27) \\ \\ 5(x^2 - 9)(x^2 + 3) \\ \\ 5(x^2 - 3^2)(x^2 + 3) \\ \\ 5(x + 3)(x - 3)(x^2 + 3) \\ \\

The final result is: 5(x + 3)(x - 3)(x<span>² +3).</span>
GenaCL600 [577]3 years ago
4 0
5x⁴ -30x² - 135

Factorizing 5x⁴ -30x² - 135,   Factoring out 5

5( x⁴ -6x² - 27)..............................(a)

Factoring ( x⁴ -6x² - 27). 

x⁴ -6x² - 27 = (x²)² -6(x²) - 27

Let y = x²

Therefore  (x²)² -6(x²) - 27 = y² -6y - 27

Therefore (a)  is the same as:  

5( x⁴ -6x² - 27) = 5(y² -6y - 27)...........(b)

y² -6y - 27 is a quadratic expression

Multiplying first and last terms = y² * -27 = -27y²

We think of two factors that multiply up to -27y², and add up to -6y which is the middle term of the quadratic expression.

The factors are :     -9y and +3y

Check:  (-9y)*(+3y) = -27y²,    +3y + (-9y) = 3y -9y = -6y 

In the expression y² -6y - 27, we replace the middle term -6y with (3y - 9y)

y² -6y - 27

y² +3y - 9y- 27

y(y+3) - 9(y+3)

(y+3)(y-9)

 y² -6y - 27 =  (y+3)(y-9) ........................(c)    

Recall y = x²

(y+3)(y-9) = (x²+3)(x²-9) ........................(d)

But (x²-9) is difference of two squares = x² - 3² = (x-3)(x+3)

(x²+3)(x²-9)

(x²+3)(x-3)(x+3) ...........................(e)

Therefore from (b)

5(x⁴ -6x² - 27) = 5(y² -6y - 27)

5(y² -6y - 27) = 5(y+3)(y-9)  =  5(x²+3)(x²-9) = 5(x²+3)(x-3)(x+3)

So 5x⁴ -30x² - 135  is =  5(x²+3)(x-3)(x+3)

I hope this helps.
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Answer:

a) The minimum sample size is 601.

b) The minimum sample size is 2401.

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of \pi, and a confidence level of 1-\alpha, we have the following confidence interval of proportions.

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

In which

z is the zscore that has a pvalue of 1 - \frac{\alpha}{2}.

The margin of error is:

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

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We dont know the true proportion, so we use \pi = 0.5, which is when we are are going to need the largest sample size.

95% confidence level

So \alpha = 0.05, z is the value of Z that has a pvalue of 1 - \frac{0.05}{2} = 0.975, so Z = 1.96.

a. If a 95% confidence interval with a margin of error of no more than 0.04 is desired, give a close estimate of the minimum sample size that will guarantee that the desired margin of error is achieved. (Remember to round up any result, if necessary.)

This is n for which M = 0.04. So

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

0.04 = 1.96\sqrt{\frac{0.5*0.5}{n}}

0.04\sqrt{n} = 1.96*0.5

\sqrt{n} = \frac{1.96*0.5}{0.04}

(\sqrt{n})^2 = (\frac{1.96*0.5}{0.04})^2

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Rounding up

The minimum sample size is 601.

b. If a 95% confidence interval with a margin of error of no more than 0.02 is desired, give a close estimate of the minimum sample size necessary to achieve the desired margin of error.

Now we want n for which M = 0.02. So

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

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0.02\sqrt{n} = 1.96*0.5

\sqrt{n} = \frac{1.96*0.5}{0.02}

(\sqrt{n})^2 = (\frac{1.96*0.5}{0.02})^2

n = 2401

The minimum sample size is 2401.

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