These are variables that place individuals literally into categories, and cannot be quantified in a meaningful way. Examples would be city of residence, ethnic background, country of birth, hair color, gender, etc. You might encode city of residence as 1, 2, 3, etc, but the alphanumerics here have no ordinal or interval meaning. It is important to plan ahead of time how you are going to use variables; your statistical methods, and their validity, may hinge on these distinctions. See link for more information.
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a categoric variable is one that is best described by a label (usually a word). the colour of eyes is a certain categoric variable, e.g. blue or brown eyes
the three (3) types of variables are: - controlled - manipulated - responding.
what is categoric proposition
A categoric chart - pie or bar. For example, answers to what is your favourite fruit?
an independent variable is a thing you can change on your own. a depentent variable is a variable you depend on and a responding variable is a variable that reacts to the experiment
The independent variable. The output variable is dependent on this variable's value and so is called the dependent variable.