Normal Gaussian Distribution
Tags: #Math #StatisticsEquation
$$X \sim \mathcal{N}(\mu,\sigma^2) \\ f(x)=\frac{1}{\sigma\sqrt{2\pi}}\exp{[\frac{(x\mu)^{2}}{2\sigma^{2}}]}$$Latex Code
X \sim \mathcal{N}(\mu,\sigma^2) \\ f(x)=\frac{1}{\sigma\sqrt{2\pi}}\exp{[\frac{(x\mu)^{2}}{2\sigma^{2}}]}
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Introduction
Equation
Latex Code
X \sim \mathcal{N}(\mu,\sigma^2) \\ f(x)=\frac{1}{\sigma\sqrt{2\pi}}\exp{[\frac{(x\mu)^{2}}{2\sigma^{2}}]}
Explanation
X denotes the random variable which follows the normal distribution. \mu denotes the mean value and \sigma denotes the standard deviation.
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