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Sauron [17]
3 years ago
9

Help meh please=, and explain how you got ur answer please and thank you

Mathematics
2 answers:
vagabundo [1.1K]3 years ago
8 0

Answer:

The answer is C. But I got 350.82

Step-by-step explanation:

The area for one triangle is 24 because A=h(height)b(base)timesb(base)/2. Both the triangles together would make 48 because 24+24=48

The are for one rectangle is 100.94 because A=b(base) times h(height). because there are 3 rectangles we multiply 100.94 times 3 which is 302.82

Then we add up all the areas 302.82+48 to get 350.82

Because this answer is slightly different I would assume it is C.

If my math is incorrect I apologize

I hope this helps! :)

Wait I just realized you have to convert it into square centimeters!

LenKa [72]3 years ago
8 0

Answer:

Ccc

Step-by-step explanation:

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A government report gives a 99% confidence interval for the proportion of welfare recipients who have been receiving welfare ben
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Answer:

The estimation for the proportion for this case is \hat p = 0.21

And we know that the 99% confidence interval is given by:

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If we decrease the confidence level this margin of error can't be higher than 0.045 so then the correct answer for this case would be:

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Because if the z value decrease from 2.58 to 1.96 not makes sense that the margin of error increase from 0.045(4.5%) to 0.048(4.8%)

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".  

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

Solution to the problem

The population proportion have the following distribution  

p \sim N(p,\sqrt{\frac{\hat p(1-\hat p)}{n}})  

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

For the 99% confidence interval the value of \alpha=1-0.99=0.01 and \alpha/2=0.005, with that value we can find the quantile required for the interval in the normal standard distribution.  

z_{\alpha/2}=2.58

The estimation for the proportion for this case is \hat p = 0.21

And we know that the 99% confidence interval is given by:

0.21 \pm 0.045

So then the margin of error at 99% of confidence is 0.045, and the margin of error is given by this formula:

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

If we decrease the confidence level this margin of error can't be higher than 0.045 so then the correct answer for this case would be:

d. 21% ± 4.8%

Because if the z value decrease from 2.58 to 1.96 not makes sense that the margin of error increase from 0.045(4.5%) to 0.048(4.8%)

5 0
3 years ago
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