Variables in Statistics

In statistics variables are defined to two categories :
1) Quantitative :  Quantitative variables are numeric. They represent a measurable quantity. Ex. Number of records in database, number of persons works in IT sector etc
2) Qualitative  : Qualitative variables take on values that are labels. Ex. Behavior of User, Color of animal, Category of employee like as Manager/Director/Software Engineer etc


Quantitative variables are further classified into two categories :
   1) Discrete Variable : If variable can take some specific value between max and min value instead of all values between max and min.
 Ex. Number of times tale comes in 100 times tossing a coin.
  Number of even numbers between 1 to 1000.

   2) Continuous Variable : If variable can take any value between max and min value.
Ex. Weight of person can take any value as 56.7/ 56.73/56.734/56.7342 etc
Number of rational numbers between 0 and 1.


Statistical data are often classified according to the number of variables as
Univariate data : If experiment done using one variable. Ex. Predicted person fitness by his/her weight.

Bivariate data : If experiment done using two variables. Ex. Predicted person fitness by his/her weight and height.

Multivariate data : If experiment done using more than two variables. Ex. Predicted person fitness by his/her weight, height, age, looks etc.