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stellarik [79]
3 years ago
6

What is the value of x? show all the work

Mathematics
2 answers:
Usimov [2.4K]3 years ago
7 0

Answer:

9 cm

Step-by-step explanation:

You can use the pythagorean theorem to find x here. Since AB^2 + BC^2=AC^2, AC^2-BC^2=AB^2. \sqrt{\sqrt{117}^2-6^2}=\sqrt{117-36}=\sqrt{81}=9. Hope this helps!

11Alexandr11 [23.1K]3 years ago
5 0

Answer:

9 cm

Step-by-step explanation:

Using pythagoras theorem

(Sqrt(117))² = 6² + x²

117 = 36 + x²

x² = 81

x = 9

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The confidence interval would be given by this formula

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And replacing into the confidence interval formula we got:

0.52 - 1.64*\sqrt{\frac{0.52(1-0.52)}{1000}}=0.4941

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And the 95% confidence interval would be given (0.4941;0.5459).

Step-by-step explanation:

Data given and notation  

n=1000 represent the random sample taken    

\hat p=0.52 estimated proportion of of U.S. employers were likely to require higher employee contributions for health care coverage

\alpha=0.05 represent the significance level (no given, but is assumed)    

Solution to the problem

The confidence interval would be given by this formula

\hat p \pm z_{\alpha/2} \sqrt{\frac{\hat p(1-\hat p)}{n}}

For the 95% confidence interval the value of \alpha=1-0.95=0.05 and \alpha/2=0.025, with that value we can find the quantile required for the interval in the normal standard distribution.

z_{\alpha/2}=1.96

The margin of error for this case is given by:

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

And replacing we got:

ME = 1.64*\sqrt{\frac{0.52(1-0.52)}{1000}}=0.0259

And replacing into the confidence interval formula we got:

0.52 - 1.64*\sqrt{\frac{0.52(1-0.52)}{1000}}=0.4941

0.52 + 1.64*\sqrt{\frac{0.52(1-0.52)}{1000}}=0.5459

And the 95% confidence interval would be given (0.4941;0.5459).

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