How many different variations are in the data set.

How the population varies compared to the sample.

How spread out each data value is from the mean.

The range, but with a bunch of other stuff going on.

find the mean

find the median

find the mode

find the range

Square each value in the data set

Subtract each value in the data set from the mean

Subtract the mean from each value in the data set

Add the mean to each value in the data set

The sample variance is the square root of the population variance.

The population variance divides the sum of the squares by n-1, while sample divides by N.

The population variance divides the sum of the squares by N, while sample divides by n-1.

There is no difference.

Divide the variance by 2.

Its a long process and I can't explain it right now.

Find the mean and multiply it by the variance.

Take the square root of the variance.

μ = 10

μ = 10.5

x̄ = 10.5

μ = 11

median

mode

mean

range

Square each value in the data set

Subtract each value in the data set from the mean

Subtract the mean from each value in the data set

Add the mean to each value in the data set

35

21

30

60

13

12

11

10

$$\sigma=\sqrt{\frac{\Sigma\left(x-\mu\right)^2}{N}}$$

$$s=\sqrt{\frac{\Sigma\left(x-\overline{x}\right)^2}{n-1}}$$

$$\overline{x}=\frac{\Sigma x}{n}$$

$$\mu=\frac{\Sigma x}{N}$$

True

False

$$\frac{SS_x}{n}$$

$$\frac{\Sigma d}{n}$$

$$\frac{SS_x}{\left(n-1\right)}$$

$$\frac{\Sigma d}{\left(n-1\right)}$$

A

B