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Mathematics Essentials 11
Data Management
13. Understand sampling issues and their role with respect to statistical claims
13.1 Classification of data
Classification of Data
How statistics sorts data into qualitative (categorical) and quantitative (numerical) types, and their sub-types.
What You'll Learn
Data is first classified as qualitative (categorical) or quantitative (numerical).
Qualitative data is nominal (no order) or ordinal (ordered, e.g. grades A, B, C).
Quantitative data is discrete (counts) or continuous (measurements).
Test: 'what kind?' means qualitative; 'how many/how much?' means quantitative.
Numeric labels like postal codes are qualitative, not quantitative.
What You'll Practice
1
Classifying data sets as qualitative or quantitative
2
Determining if quantitative data is discrete or continuous
3
Identifying the correct level of measurement for survey and research data
4
Analyzing examples involving student marks, shoe sizes, and temperatures
Why This Matters
Understanding data classification is essential for choosing the right statistical methods and interpreting results correctly. Whether you're analyzing survey data, conducting research, or solving real-world problems, knowing your data type determines which calculations are valid and meaningful.
This Unit Includes
5 Video lessons
Practice exercises
Learning resources
Skills
Data Types
Qualitative Data
Quantitative Data
Discrete Data
Continuous Data
Levels of Measurement
Nominal Scale
Ordinal Scale
Interval Scale
Ratio Scale
NS Curriculum Aligned