Equivalence of Definitions of Kurtosis
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Theorem
The following definitions of the concept of Kurtosis are equivalent:
Definition 1
The kurtosis of $X$ is the fourth standardized moment of $X$:
- $\alpha_4 = \expect {\paren {\dfrac {X - \mu} \sigma}^4}$
where $\expect {\, \cdot \,}$ denotes expectation.
Definition 2
The kurtosis of $X$ is defined as:
- $\alpha_4 = \dfrac {\mu_4} {\paren {\mu_2}^2}$
where $\mu_i$ denotes the $i$th central moment of $X$.
Proof
\(\ds \expect{\paren {\frac {X - \mu} \sigma}^4}\) | \(=\) | \(\ds \frac {\expect{\paren {X - \mu}^4} } {\sigma^4}\) | Expectation is Linear | |||||||||||
\(\ds \) | \(=\) | \(\ds \frac {\expect{\paren {X - \mu}^4} } {\paren {\var X}^2}\) | Definition of Standard Deviation | |||||||||||
\(\ds \) | \(=\) | \(\ds \frac {\expect{\paren {X - \mu}^4} } {\paren {\expect{\paren {X - \expect X}^2} }^2}\) | Definition of Variance | |||||||||||
\(\ds \) | \(=\) | \(\ds \frac {\expect{\paren {X - \mu}^4} } {\paren {\expect{\paren {X - \mu}^2} }^2}\) | Definition of Expectation | |||||||||||
\(\ds \) | \(=\) | \(\ds \frac {\mu_4} {\paren {\mu_2}^2}\) | Definition of Central Moment |
$\blacksquare$