In these lessons, we will learn

- Population Variance
- Sample Variance
- Alternate Formulas or Computational Formulas for Variance

**Related Pages**

Central Tendency & Variance

Standard Deviation

Statistics Lectures - 5: Variance & Percentiles

ANOVA Test

More Statistics Lessons

The following diagrams give the population variance formula and the sample variance formula. Scroll down the page for more examples and solutions on how to use the variance formulas.

The variance is the average of the squared deviations about the mean for a set of numbers.
The population variance is denoted by σ^{2}. It is given by the formula:

The capital Greek letter sigma 𝚺 is commonly used in mathematics to represent a summation of all the numbers in a grouping.

N is the number of terms in the population.

**How To Calculate The Variance Of A Population?**

Variance as a measure of, on average, how far the data points in a population are from the population mean.

**Population Variance And Standard Deviation**

How to calculate the variance and standard deviation?

The sample variance is denoted by s^{2}. The main use for sample variances is as
estimators of population variances. The computation of the sample variance differs slightly
from computation of the population variance. The sample variance uses n – 1 in the
denominator instead of n because using n in the denominator of a sample variance results
in a statistic that tends to underestimate the population variance. (This is further
explained in the video below)

The formula for sample variance is:

**How to use the variance of a sample to estimate the variance of a population?**

**What is the formula of sample variance and how to finding the sample variance?**

Sometimes, books may give different formulas for variance.

We will now show how to derive these different formulas for variance.

**How to derive the different alternate formulas for variance?**

**How to find the sample standard deviation using the computation formula?**

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