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Murrr4er [49]
3 years ago
7

Simplify the complex expression and show work

Mathematics
1 answer:
VashaNatasha [74]3 years ago
5 0

The answer is

(-9+3\sqrt{2})+(3\sqrt{2}-2)i

=======================================================

Work Shown:

(-3+\sqrt{-2})(3-\sqrt{2})

(-3+\sqrt{-1*2})(3-\sqrt{2})

(-3+\sqrt{-1}*\sqrt{2})(3-\sqrt{2})

(-3+i\sqrt{2})(3-\sqrt{2})

x(3-\sqrt{2}) let x=-3+i\sqrt{2}

3x-x*\sqrt{2} distribute

3(x)-\sqrt{2}(x)

3(-3+i\sqrt{2})-\sqrt{2}(-3+i\sqrt{2})

-9+3i\sqrt{2}+3\sqrt{2}-i*\sqrt{2}*\sqrt{2}

-9+3i\sqrt{2}+3\sqrt{2}-2i

-9+3\sqrt{2}+3i\sqrt{2}-2i

(-9+3\sqrt{2})+(3\sqrt{2}-2)i

The use of parenthesis in the last step is to help separate out the terms.

The last expression shown above is in the form a+bi where

a=-9+3\sqrt{2}

b=3\sqrt{2}-2

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Answer:

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A candidate for a US Representative seat from Indiana hires a polling firm to gauge her percentage of support among voters in he
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Answer:

(A) The minimum sample size required achieve the margin of error of 0.04 is 601.

(B) The minimum sample size required achieve a margin of error of 0.02 is 2401.

Step-by-step explanation:

Let us assume that the percentage of support for the candidate, among voters in her district, is 50%.

(A)

The margin of error, <em>MOE</em> = 0.04.

The formula for margin of error is:

MOE=z_{\alpha /2}\sqrt{\frac{p(1-p)}{n}}

The critical value of <em>z</em> for 95% confidence interval is: z_{\alpha/2}=1.96

Compute the minimum sample size required as follows:

MOE=z_{\alpha /2}\sqrt{\frac{p(1-p)}{n}}\\0.04=1.96\times \sqrt{\frac{0.50(1-0.50)}{n}}\\(\frac{0.04}{1.96})^{2} =\frac{0.50(1-0.50)}{n}\\n=600.25\approx 601

Thus, the minimum sample size required achieve the margin of error of 0.04 is 601.

(B)

The margin of error, <em>MOE</em> = 0.02.

The formula for margin of error is:

MOE=z_{\alpha /2}\sqrt{\frac{p(1-p)}{n}}

The critical value of <em>z</em> for 95% confidence interval is: z_{\alpha/2}=1.96

Compute the minimum sample size required as follows:

MOE=z_{\alpha /2}\sqrt{\frac{p(1-p)}{n}}\\0.02=1.96\times \sqrt{\frac{0.50(1-0.50)}{n}}\\(\frac{0.02}{1.96})^{2} =\frac{0.50(1-0.50)}{n}\\n=2401.00\approx 2401

Thus, the minimum sample size required achieve a margin of error of 0.02 is 2401.

8 0
3 years ago
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Vinil7 [7]
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8 0
3 years ago
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Answer:

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<u>Step-by-step explanation:</u>

21ax + 10by - 35ay - 6bx

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