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NAME: DUA QURESHI
DEPARTMENT: FACULTY OF EDUCATION
B.Ed. (2.5)(M)
ROLL NO: 2K17/BEDSM/12
ASSIGNMENT TOPIC: TYPES OF VARIABLES
SUBMITTED TO: DR. AMJAD ALI ARAIN
Variables
A variable is any characteristics, numbers or
quantity that can be measured or counted. A
variable may also called a data item
Example:- Age, Gender, Income, Expenses,
Country of birth etc.
1) QUALITATIVE VARIABLE:-
Qualitative variables are also known as
categorical variables. Qualitative variables can be further
categorized as either nominal and ordinal .
NOMINAL:-
Nominal variables are variables that have two or more
categories, but which do not have an intrinsic order.
ORDINAL:-
Ordinal variables are variables that have two or
more categories just like nominal variables only the
categories can also be ordered or ranked.
2) QUANTITATIVE VARIABLE:-
Quantitative variables are also known as Continuous
variables. Quantitative variables can be further categorized as
either interval or ratio variables.
INTERVAL:-
Interval variables are variables for which their central
characteristic is that they can be measured along a continuum
and they have a numerical value.
RATIO:-
Ratio is defined as a quantitative data, having the same
properties as interval data, with an equal and definitive ratio
between each data and absolute “zero” being a treated as a
point of origin. In other words, there can be no negative
numerical value in ratio data.
1) DEPENDENT VARIABLES :-
The dependent variable is simply that, a variable
that is dependent on an independent variable.
2) INDEPENDENT VARIABLES:-
An independent variable, sometimes called an
experimental or predictor variable, is a variable that is
being manipulated in an experiment in order to observe the
effect on a dependent variable, sometimes called an
outcome variable.
Types of Variables

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Types of Variables

  • 1.
  • 2. NAME: DUA QURESHI DEPARTMENT: FACULTY OF EDUCATION B.Ed. (2.5)(M) ROLL NO: 2K17/BEDSM/12 ASSIGNMENT TOPIC: TYPES OF VARIABLES SUBMITTED TO: DR. AMJAD ALI ARAIN
  • 3. Variables A variable is any characteristics, numbers or quantity that can be measured or counted. A variable may also called a data item Example:- Age, Gender, Income, Expenses, Country of birth etc.
  • 4.
  • 5. 1) QUALITATIVE VARIABLE:- Qualitative variables are also known as categorical variables. Qualitative variables can be further categorized as either nominal and ordinal . NOMINAL:- Nominal variables are variables that have two or more categories, but which do not have an intrinsic order. ORDINAL:- Ordinal variables are variables that have two or more categories just like nominal variables only the categories can also be ordered or ranked.
  • 6. 2) QUANTITATIVE VARIABLE:- Quantitative variables are also known as Continuous variables. Quantitative variables can be further categorized as either interval or ratio variables. INTERVAL:- Interval variables are variables for which their central characteristic is that they can be measured along a continuum and they have a numerical value. RATIO:- Ratio is defined as a quantitative data, having the same properties as interval data, with an equal and definitive ratio between each data and absolute “zero” being a treated as a point of origin. In other words, there can be no negative numerical value in ratio data.
  • 7. 1) DEPENDENT VARIABLES :- The dependent variable is simply that, a variable that is dependent on an independent variable. 2) INDEPENDENT VARIABLES:- An independent variable, sometimes called an experimental or predictor variable, is a variable that is being manipulated in an experiment in order to observe the effect on a dependent variable, sometimes called an outcome variable.