Statistics – Variance

Prabhu TL
1 Min Read
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A variance is defined as the average of Squared differences from mean value.

Combination is defined and given by the following function:

Formula

δ=∑(M−ni)2nδ=∑(M−ni)2n

Where −

·        MM = Mean of items.

·        nn = the number of items considered.

·        nini = items.

Example

Problem Statement:

Find the variance between following data : {600, 470, 170, 430, 300}

Solution:

Step 1: Determine the Mean of the given items.

M=600+470+170+430+3005=19705=394M=600+470+170+430+3005=19705=394

Step 2: Determine Variance

δ=∑(M−ni)2n=(600−394)2+(470−394)2+(170−394)2+(430−394)2+(300−394)25=(206)2+(76)2+(−224)2+(36)2+(−94)25=42,436+5,776+50,176+1,296+8,8365=108,5205=(14)(13)(3)(11)(2)(1)=21,704δ=∑(M−ni)2n=(600−394)2+(470−394)2+(170−394)2+(430−394)2+(300−394)25=(206)2+(76)2+(−224)2+(36)2+(−94)25=42,436+5,776+50,176+1,296+8,8365=108,5205=(14)(13)(3)(11)(2)(1)=21,704

As a result, Variance is 21,70421,704.

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Prabhu TL is a SenseCentral contributor covering digital products, entrepreneurship, and scalable online business systems. He focuses on turning ideas into repeatable processes—validation, positioning, marketing, and execution. His writing is known for simple frameworks, clear checklists, and real-world examples. When he’s not writing, he’s usually building new digital assets and experimenting with growth channels.
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