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Fix Gaussian distribution formula in documentation (#889)

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`@@ -64,11 +64,11 @@ Experimental`
`64`	`64`
`65`	`65`	`The probability density function (pdf) of the single real variable normal distribution:`
`66`	`66`
`67`		`-$$f(x) = \frac{1}{\sigma \sqrt{2}} \exp{\left[-\frac{1}{2}\left(\frac{x-\mu}{\sigma}\right)^{2}\right]}$$`
	`67`	`+$$f(x) = \frac{1}{\sigma \sqrt{2\pi}} \exp{\left[-\frac{1}{2}\left(\frac{x-\mu}{\sigma}\right)^{2}\right]}$$`
`68`	`68`
`69`	`69`	`For a complex varible $ z=(x + y i) $ with independent real $ x $ and imaginary $ y $ parts, the joint probability density function is the product of the the corresponding real and imaginary marginal pdfs:[^2]`
`70`	`70`
`71`		`-$$f(x + y \mathit{i}) = f(x) f(y) = \frac{1}{2\sigma_{x}\sigma_{y}} \exp{\left[-\frac{1}{2}\left(\left(\frac{x-\mu_x}{\sigma_{x}}\right)^{2}+\left(\frac{y-\mu_y}{\sigma_{y}}\right)^{2}\right)\right]}$$`
	`71`	`+$$f(x + y \mathit{i}) = f(x) f(y) = \frac{1}{2\pi\sigma_{x}\sigma_{y}} \exp{\left[-\frac{1}{2}\left(\left(\frac{x-\mu_x}{\sigma_{x}}\right)^{2}+\left(\frac{y-\mu_y}{\sigma_{y}}\right)^{2}\right)\right]}$$`
`72`	`72`
`73`	`73`	`### Syntax`
`74`	`74`

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