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·Quantitative or numerical data arise when the
observations are frequencies or measurements.

·The data are said to be discrete if the measurements are integers (e.g. number ofemployees of a company, number of incorrect
answers on a test, number of participants in a program…)

·The data are said to be continuous if the measurements can take on any value, usually
within some range (e.g. weight).Age
and income are continuous quantitative variables. For continuous variables,
arithmetic operations such as differences and averages make sense.

Analysis can take almost any form:

ÞCreate groups or categories and generate
frequency tables.

·Some quantitative variables can be treated only
as ranks; they have a natural order, butthese values are not strictly measured.Examples are:1) age group (taking the values child, teen,
adult, senior), and 2) Likert Scale data (responses such as strongly agree,
agree, neutral, disagree, strongly disagree).For these variables, the distinction between adjacent points on the
scale is not necessarily the same, and the ratio of values is not meaningful.

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