Changes

*The equation for the normal distribution is: <math> f(x,\mu,\sigma)=\frac{1}{\sigma \sqrt{2\pi}}.e^-\left({\frac{(x-\mu)^2}{2\sigma^2}}\right)</math>  where <math>\mu</math> is the mean of the distribution,<math>\sigma</math> is the standard deviation of the distribution.  

*The equation for the normal distribution is: <math> f(x,\mu,\sigma)=\frac{1}{\sigma \sqrt{2\pi}}.e^-\left({\frac{(x-\mu)^2}{2\sigma^2}}\right)</math>  where <math>\mu</math> is the mean of the distribution,<math>\sigma</math> is the standard deviation of the distribution.  

*In this formula, Suppose  <math>\mu</math> = 0 and <math>\sigma</math>= 1, then the distribution is called the standard normal distribution or the unit normal distribution.

*In this formula, Suppose  <math>\mu</math> = 0 and <math>\sigma</math>= 1, then the distribution is called the standard normal distribution or the unit normal distribution.

   This function will return the result as error when  any one of the argument is nonnumeric and sd<=0.

   This function will return the result as error when  any one of the argument is non-numeric and <math>sd<=0</math>.

*when cu is TRUE , this formula is the integral from -infinity to x and cu is FALSE , we can use the same formula.

*when <math>cu</math> is TRUE , this formula is the integral from <math>-\infity</math> to <math>x</math> and <math>cu</math> is FALSE , we can use the same formula.

==Examples==

==Examples==