To find the variance of the sample data, you square the standard deviation.

Given:

• Standard deviation ($s$) = 13.2965 kg

The formula for variance ($s^2$) is:

$s^2 = (13.2965 \, \text{kg})^2$

Now, calculate the variance:

$s^2 = 13.2965^2 = 176.7504 \, \text{kg}^2$

So, the variance of the sample data is 176.7504 kg².

Would you like further details or have any questions?

Here are 5 related questions:

1. How is the variance related to the standard deviation?
2. What is the significance of variance in statistical analysis?
3. How would you interpret a higher or lower variance in a data set?
4. Can variance ever be negative? Why or why not?
5. How does variance differ between a sample and a population?

Tip: Always remember that the variance is the square of the standard deviation, so its units are squared as well!