Illustration of the central limit theorem

In probability theory, the central limit theorem (CLT) states that, in many situations, when independent and identically distributed random variables are added, their properly normalized sum tends toward a normal distribution. This article gives two illustrations of this theorem.

Source: Wikipedia — Illustration of the central limit theorem (CC BY-SA 4.0)

Illustration of the central limit theorem

In probability theory, the central limit theorem (CLT) states that, in many situations, when independent and identically distributed random variables are added, their properly normalized sum tends toward a normal distribution. This article gives two illustrations of this theorem.

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Source: Wikipedia "Illustration of the central limit theorem" · CC BY-SA 4.0

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