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lisabon 2012 [21]
3 years ago
10

These triangles are similar and the sides are proportional. Which proportion correctly describes the situation below?

Mathematics
1 answer:
Veronika [31]3 years ago
8 0

Answer:

Option (3)

Step-by-step explanation:

"If two triangles are similar, their corresponding sides are proportional."

We will check each proportionality ratio given in the options for the given property,

Option (1),

\frac{QB}{DM}=\frac{DF}{QL}=\frac{LB}{MF}

\frac{3.5}{2}=\frac{5}{8.75}=\frac{10.5}{6}

\frac{7}{4}=\frac{4}{7}=\frac{7}{4}

But \frac{7}{4}\neq \frac{4}{7}.

Therefore, this option is not the answer.

Option (2),

\frac{FM}{LB}=\frac{BQ}{MD}=\frac{QL}{DF}

\frac{6}{10.5}=\frac{3.5}{2}=\frac{8.75}{5}

\frac{4}{7}=\frac{7}{4}=\frac{7}{4}

But \frac{4}{7}\neq \frac{7}{4},

Therefore, this option is not the option.

Option (3),

\frac{BQ}{MD}=\frac{QL}{DF}=\frac{BL}{MF}

\frac{3.5}{2}=\frac{8.75}{5}=\frac{10.5}{6}

\frac{7}{4}=\frac{7}{4}=\frac{7}{4}

Therefore, this option is the answer.

Option (4),

\frac{6}{10.5}=\frac{2}{3.5}=\frac{5}{10.5}

\frac{4}{7}=\frac{4}{7}=\frac{10}{21}

But, \frac{4}{7}\neq \frac{10}{21}

Therefore, this is not the correct option.

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Answer:

The standard deviation of the data set is \sigma = 12.7906.

Step-by-step explanation:

The Standard Deviation is a measure of how spread out numbers are. Its symbol is σ (the greek letter sigma)

To find the standard deviation of the following data set

\begin{array}{cccccccc}83&87&90&92&93&100&104&111\\115&121&&&&&&\end{array}

we use the following formula

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Step 1: Find the mean \left( \overline{X} \right).

The mean of a data set is the sum of the terms divided by the total number of terms. Using math notation we have:

                                     Mean = \frac{Sum ~ of ~ terms}{Number ~ of ~ terms}

Mean = \frac{Sum ~ of ~ terms}{Number ~ of ~ terms}=\frac{83+87+90+92+93+100+104+111+115+121}{10} \\\\Mean = \frac{996}{10} =\frac{498}{5}=99.6

Step 2: Create the below table.

Step 3: Find the sum of numbers in the last column to get.

\sum{\left(x_i - \overline{X}\right)^2} = 1472.4

Step 4: Calculate σ using the above formula.

\sigma = \sqrt{ \frac{ \sum{\left(x_i - \overline{X}\right)^2 }}{n-1} }       = \sqrt{ \frac{ 1472.4 }{ 10 - 1} } \approx 12.7906

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