Why does E[(x - u)^2] = E[x^2] - u^2 (Statistics)
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Why does E[(x - u)^2] = E[x^2] - u^2 (Statistics)

[From: ] [author: ] [Date: 12-02-29] [Hit: ]
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This is a standard derivation that you can find in any textbook.

You have to know that μ = E(X) = Σ pᵢxᵢ where i = 1 to n.
Also know that E(X²) = Σ pᵢxᵢ² and also Σ pᵢ = 1

With that under your belt, the rest is just simple algebra and using some facts about summations
For example Σ μ = nμ where you sum from 1 to n,.

So E(x–μ)² = Σ pᵢ(xᵢ –μ) ² = Σ pᵢ(xᵢ² – 2μxᵢ + μ²) =

Σ pᵢ(xᵢ²) – 2μ Σ pᵢxᵢ + Σ pᵢ μ² =

E(X²) – 2μμ + μ² •1 =

E(X²) – μ²

(SInce– 2μμ + μ² •1 = – 2u² + μ² = – μ² )
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