This document discusses the different types of data used in statistics. There are two main types: qualitative or categorical data, and quantitative or numerical data. Qualitative data includes nominal data, which classifies variables into mutually exclusive categories, and ordinal data, which groups variables into descriptive ordered categories. Quantitative data contains discrete data, which can only take certain numerical values, and continuous data, which can take any numerical value. In summary, the document outlines the key differences between qualitative and quantitative data, and identifies the sub-types of each.

1. TYPE OF DATA IN STATISTIC
REESE OBIAS | KHIELE ABARACOSO | NAGUILIAN NATIONAL HIGH SCHOOL

2. Types of
Data
QUALITATIVE or
CATEGORICAL
DATA
• NOMINAL DATA
• ORDINAL DATA
QUANTITATIVE or
CATEGORICAL
DATA
• DISCRETE DATA
• CONTINUOUS DATA

3. TWO TYPES OF DATA
• First, Qualitative or Categorical Data the
descriptive and conceptual findings collected
through questionnaires, interviews, or
observation.
• Then, Quantitative or Numerical Data is a data that
can be counted or measured in numerical
values.

4. QUALITATIVE or CATEGORICAL DATA
QUANTITATIVE or NUMERICAL DATA
• There are two kinds of qualitative or categorical data. Which are
nominal and ordinal data
• and in quantitative or numerical data also there are two kinds which
are discrete and continuous data.

5. TWO KINDS OF QUALITATIVE or CATEGORICAL
DATA
• NOMINAL DATA
data that can be labelled or classified into mutually exclusive categories
within a variable.
EXAMPLE:
In social scientific research, nominal variables often include gender, ethnicity,
political preferences or student identity number. Variable types that can be
coded in only 2 ways

6. TWO KINDS OF QUALITATIVE or CATEGORICAL
DATA
• ORDINAL DATA
a type of qualitative (non-numeric) data that groups variables into
descriptive categories.
EXAMPLE:
socio economic status (“low income”,”middle income”,”high income”),
satisfaction rating (“extremely dislike”, “dislike”, “neutral”, “like”, “extremely
like”).

7. TWO KINDS OF QUANTITATIVE or NUMERICAL
DATA
• DISCRETE DATA
information that can only take certain values.
EXAMPLE:
• The number of students in a class.
• The number of workers in a company.
• The number of parts damaged during transportation.
• Shoe sizes.

8. TWO KINDS OF QUANTITATIVE or NUMERICAL
DATA
• CONTINUOUS DATA
data that can take any value.
EXAMPLE:
Height, weight, temperature and length

9. That is all Thank you for Listening
Presented by: Khiele and Reese