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Lynna [10]
3 years ago
9

One polygon has a side of length 3 feet. A similar polygon has a corresponding side of length 9 feet. The ratio of the perimeter

of the smaller polygon to the larger is 3:1 1:6 1:3
Mathematics
1 answer:
shusha [124]3 years ago
6 0

\bf ~\hspace{5em} \textit{ratio relations of two similar shapes} \\[2em] \begin{array}{ccccllll} &\stackrel{ratio~of~the}{Sides}&\stackrel{ratio~of~the}{Areas}&\stackrel{ratio~of~the}{Volumes}\\ \cline{2-4}&\\ \cfrac{\textit{similar shape}}{\textit{similar shape}}&\cfrac{s}{s}&\cfrac{s^2}{s^2}&\cfrac{s^3}{s^3} \end{array}\\\\[-0.35em] ~\dotfill \\\\ \cfrac{\textit{small polygon}}{\textit{large polygon}}\qquad \qquad \cfrac{3}{9}\implies \cfrac{1}{3}\implies \stackrel{ratio}{1:3}

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Answer:

a)

Group 18-34 years old

\bar x = 1041.625 \\ s^2=485301 \\ s=696.635

Group 35-44 years old

\bar x = 1359.5 \\ s^2=178548 \\ s=422.549

Group 45 and older

\bar x = 1414.375 \\ s^2=18292.27 \\ s=135.248

b)

According to the sample there is 9.04% probability that a person between 18 and 34 consume less than the average, 47.74% probability that a person between 35 and 44 consume more than the average and 50% probability that a person older than 45 consume more than the average.

Step-by-step explanation:

a)

The <em>mean</em> for each sample is

\bar x=\frac{\sum_{k=1}^{10}x_k}{10}

where the x_k are the data corresponding to each group

The <em>variance</em> is

s^2=\frac{\sum_{k=1}^{10}(\bar x-x_k)^2}{9}

and the <em>standard deviation </em>is s, the square root of the variance.

<u>Group 18-34 years old </u>

\bar x = 1041.625 \\ s^2=485301 \\ s=696.635

<u>Group 35-44 years old </u>

\bar x = 1359.5 \\ s^2=178548 \\ s=422.549

<u>Group 45 and older </u>

\bar x = 1414.375 \\ s^2=18292.27 \\ s=135.248

b)

Let's compare these averages against the general media established of $1,092 by using the corresponding z-scores

z=\frac{\bar x-\mu}{s/\sqrt{n}}

where

<em>\bar x = mean of the sample </em>

<em>\mu = established average </em>

<em>s = standard deviation of the sample </em>

<em>n = size of the sample </em>

<u>z-score of Group 18-34 years old </u>

z=\frac{1041.625-1092}{696.635/\sqrt{10}}=-0.2286

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The area under the normal curve N(0;1) between 0 and 2.0019 is 0.4774. So according to the sample there is 47.74% probability that a person between 35 and 44 consume more than the average.

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The area under the normal curve N(0;1) between 0 and 7.5375 is 0.5. So according to the sample there is 50% probability that a person older than 45 consume more than the average.

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