A variable is any characteristics, number, or quantity that
can be measured or counted. A variable may also be called a data item. Age,
sex, business income and expenses, country of birth, capital expenditure, class
grades, eye color and vehicle type are examples of variables.
1.Quantitative variable: Are those variable that
describe a measurable quantity as a number, like 'how many' or 'how much'.
a)Continuous: A continuous variable is
a numeric variable. Observations can take any value between a certain set of
real numbers. Examples of continuous variables include height, time, age, and
temperature.
b)Discrete: It is the variable which
takes only full number not the fraction. Examples of discrete variable 1,2,3
cars.
2.Qualitative
variable: Are those variable that describe a 'quality' or
'characteristic' of a data unit, like 'what type' or 'which category'.
a)Ordinal:
An ordinal variable is a categorical variable. Observations can take a value
that can be logically ordered or ranked. Examples clothing size (i.e. small,
medium, large, extra large)
b)Nominal:
A nominal variable is a categorical variable. Observations can take a value
that is not able to be organized in a logical sequence. Examples business type,
eye color, religion and brand
