Changes

==Description==  

==Description==  

*This function gives the normal distribution for the particular mean and standard deviation.

*This function gives the Normal Distribution for the particular Mean and Standard Deviation.

*Normal distribution is the function that represents the distribution of many random variables as a symmetrical bell-shaped graph.

*Normal Distribution is the function that represents the distribution of many random variables as a symmetrical bell-shaped graph.

*This distribution is the continuous probability distribution.It is also called Gaussian distribution.  

*This distribution is the Continuous Probability Distribution.It is also called Gaussian Distribution.  

*In <math> NORMDIST(x,m,sd,cu) ,x</math> is the value of the function,<math> m</math> is the arithmetic mean of the distribution, <math>sd</math> is the standard deviation of the distribution and <math>cu</math> is the logical value that indicating the form of the function.  

*In <math> NORMDIST(x,m,sd,cu</math>), <math>x</math> is the value of the function, <math>m</math> is the Arithmetic Mean of the distribution, <math>sd</math> is the Standard Deviation of the distribution and <math>cu</math> is the Logical Value that indicating the form of the function.  

*Suppose cu is TRUE, this function gives the cumulative distribution, and it is FALSE, this function gives the probability mass function.  

*Suppose <math>cu</math> is TRUE, this function gives the Cumulative Distribution, and it is FALSE, this function gives the Probability Mass Function.  

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

*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.

<math> f(x,\mu,\sigma)=\frac{1}{\sigma \sqrt{2\pi}}.e^{-\left({\tfrac{(x-\mu)^2}{2\sigma^2}}\right)}</math>

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

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

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

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