Changes

*Discrete distribution is frequently used in statistical modeling and computer programming.

*Discrete distribution is frequently used in statistical modeling and computer programming.

*The discrete uniform distribution itself is inherently non-parametric.

*The discrete uniform distribution itself is inherently non-parametric.

*Consider an interval <math>[a,b]</math>, with these conventions, the cumulative distribution function (CDF) of the discrete uniform distribution can be expressed, for any <math>k \isin [a,b]</math>, as F(k;a,b)=k-a+1/b-a+1.

*Consider an interval <math>[a,b]</math>, with these conventions, the cumulative distribution function (CDF) of the discrete uniform distribution can be expressed, for any <math>k \isin [a,b]</math>, as <math>F(k;a,b)=\frac{k-a+1}{b-a+1}</math>.

*This function will return the result as error when  

*This function will return the result as error when  

  1.Any one of the parameter is non numeric.

  1.Any one of the parameter is non numeric.

  2.The value of a and b is<0.

  2.The value of a and b is<0.