Nominal Level Data:

• Numbers are used to classify or categorize.
• For classifying and counting
• Eg: Employment classification : 1 for Educator and 2 for Construction worker.

Ordinal Level Data:

• Numbers are used to indicate rank or order.
• For classifying, counting and ranking.
• Eg: 1 for president, 2 for vice-president, 3 for plant manager, 4 for Department supervisor and 5 for Employee.
• Or, 1 for strongly agree and 5 for strongly disagree.

Interval level Data:

• Distance between consecutive integers is equal.
• For classifying, counting, Ranking, Adding, Subtracting, Multiplying and dividing.
• Eg: Fahrenheit temperature, Calendar time, Monetary units.

Ratio level Data:

• High level of data.
• Highest level measurement.
• Eg: Financial ratio, P/E ratio, Revenue/Expenses.

Note: i) Qualitative data: Nominal or ordinal ] label or category

ii) Quantitative Data: Interval or ratio.] Numerical scale

• Discrete data results from counting process. Eg: 12,3,4,5,6
• Continuous data results from measuring process . Eg: 0-10,10-20,20-30.