IDNLearn.com makes it easy to find accurate answers to your specific questions. Our platform provides prompt, accurate answers from experts ready to assist you with any question you may have.

The weekly salaries of a sample of employees at the local bank are given in the table below.

\begin{tabular}{|c|c|}
\hline
Employee & Weekly Salary \\
\hline
Anja & [tex]$\$[/tex]245[tex]$ \\
\hline
Raz & $[/tex]\[tex]$300$[/tex] \\
\hline
Natalie & [tex]$\$[/tex]325[tex]$ \\
\hline
Mic & $[/tex]\[tex]$465$[/tex] \\
\hline
Paul & [tex]$\$[/tex]100$ \\
\hline
\end{tabular}

What is the variance for the data?

Variance:
[tex]\[
\frac{\left(x_1 - \bar{x}\right)^2 + \left(x_2 - \bar{x}\right)^2 + \ldots + \left(x_n - \bar{x}\right)^2}{n - 1}
\][/tex]

A. 118.35
B. 13232


Sagot :

To find the variance of the weekly salaries of the employees at the local bank, we need to follow these steps:

1. Calculate the Mean (Average) Salary:
The mean salary is the sum of all salaries divided by the number of employees.

[tex]\( \text{Mean Salary (\(\bar{x}\)[/tex])} = \frac{\[tex]$245 + \$[/tex]300 + \[tex]$325 + \$[/tex]465 + \[tex]$100}{5} = \$[/tex]287.0 \)

2. Calculate the Squared Differences from the Mean:
For each salary, subtract the mean salary and then square the result:

- For Anja: [tex]\((245 - 287)^2 = (-42)^2 = 1764.0\)[/tex]
- For Raz: [tex]\((300 - 287)^2 = (13)^2 = 169.0\)[/tex]
- For Natalie: [tex]\((325 - 287)^2 = (38)^2 = 1444.0\)[/tex]
- For Mic: [tex]\((465 - 287)^2 = (178)^2 = 31684.0\)[/tex]
- For Paul: [tex]\((100 - 287)^2 = (-187)^2 = 34969.0\)[/tex]

So the squared differences are [tex]\([1764.0, 169.0, 1444.0, 31684.0, 34969.0]\)[/tex].

3. Sum of Squared Differences:
Add up all the squared differences:

[tex]\( 1764.0 + 169.0 + 1444.0 + 31684.0 + 34969.0 = 70030.0 \)[/tex]

4. Calculate the Variance:
Finally, divide the sum of squared differences by the number of salaries minus one (n-1), where [tex]\( n \)[/tex] is the number of employees.

[tex]\( \text{Variance} = \frac{70030.0}{5 - 1} = \frac{70030.0}{4} = 17507.5 \)[/tex]

The variance for the weekly salaries of the employees is [tex]\( 17507.5 \)[/tex].