Page 20 - Quantitative Data Analysis

Quantitative Data Analysis
Simply Explained Using SPSS

Types of Data

1. Quantitative / Continuous Data

Quantitative Data are the data with levels indicating
different amounts. A higher score indicates more of the
variable than a lower score. Continuous data may take an
infinite number of value or within a defined range.

Examples: height, weight, age, time, temperature, blood
pressure, student marks, number of students in class.

2. Qualitative / Categorical Data

Categorical data have values that can assume only whole
numbers or a fixed number of outcomes. These variables
are with levels indicating different kinds and it can have
limited set of values.

Example:

Examples: gender (either male or female), political
affiliation, Qualification (Graduate, Master, Ph.D), hair/eye
color, Socio-economic status (Poor, middle class, rich, elite).

Variables which hold qualitative/ categorical data are
called qualitative/ categorical variables. Likewise,
Variables which hold quantitative / continuous data are
called quantitative / continuous variables.

The Theory and Applications of Statistical Inferences 4