TYPES OF DATA

Introduction to Data00:00:01

Defines what data is and explains why different pieces of information collected in real-life situations (like student profiles) require different treatment and classification.

Qualitative Data: Nominal and Ordinal00:03:32

Explains qualitative data as categorical information. Details nominal data (labels without order, e.g., blood type, strand) versus ordinal data (categories with meaningful rank, e.g., satisfaction levels).

Quantitative Data: Discrete and Continuous00:10:53

Discusses numerical data. Covers discrete data (obtained by counting whole numbers, e.g., number of siblings) and continuous data (obtained by measuring intervals, e.g., height or time).

Steps to Classify Data00:18:19

Provides a systematic approach to identifying data types: determine if it is categorical or numerical, then check for order or whether it was obtained by counting versus measuring.

Common Misconceptions and Examples00:19:05

Analyzes real-world examples and addresses common mistakes, such as why numbers used for labels (like IDs or jersey numbers) are actually qualitative/nominal, and why whole numbers can still be continuous if measured.