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Variance Calculator (Sample & Population)

Variance measures the dispersion of a dataset around its arithmetic mean.

Calculated Result
4.571429

Variance

Variance (sample)

4.571429

Standard deviation

2.13809

Mean

5

Count (n)

8

Sum of squares

32

4.5714 — Variance

Calculation Breakdown

  1. Meanx̄ = 5
  2. Sample variances² = Σ(x − x̄)² / (n − 1) = 4.571429

Squared Deviation Contribution

Interactive visualization based on your current inputs

Calculated Value
0.04.08.01216x = 2 (dev -3)x = 4 (dev -1)x = 7 (dev +2)x = 9 (dev +4)

What Is the Variance Calculator (Sample & Population)?

Variance measures how far numbers in a dataset are spread out from their average value.

How Does the Variance Calculator (Sample & Population) Work?

Each value is subtracted from the mean, squared, and the sum is divided by n-1 (sample) or n (population).

Variance Calculator (Sample & Population) Formula & Variables

The core mathematical equation utilized by this calculator is expressed as:

s2=∑(xi−xˉ)2n−1s^2 = \dfrac{\sum(x_i - \bar{x})^2}{n-1}

Sample variance divides sum of squared deviations by n−1; population variance divides by n.

How to Use the Variance Calculator (Sample & Population)

  1. Enter numbers separated by commas, choose sample or population, and see the variance result.

Step-by-Step Example Calculation

Variance of 2,4,4,4,5,5,7,9

Input Values:

numbers:2,4,4,4,5,5,7,9
type:sample
Worked Steps: Sample variance is 4.0.

Understanding Your Result

Because it squares deviations, variance is in squared units of the original measurement.

Factors That Affect the Result

  • Outliers have a large impact because differences are squared.

When Should You Use This Calculator?

  • Risk analysis, ANOVA testing, process engineering, data modeling.

Assumptions & Limitations

  • Units of variance are squared units; standard deviation gives the same scale as the data.

Frequently Asked Questions

Calculation Accuracy & Reference Note

Numerically stable two-pass algorithm.

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