Matching Statistical Variable Types with Examples

This section explains how to match different types of statistical variables (Discrete, Continuous, Ordinal, Nominal) with their corresponding examples.

Understanding Variable Types

• Discrete Variables: Can only take specific, distinct values, often countable. Example: Number of events.
• Continuous Variables: Can take any value within a given range, measurable. Example: Height, weight.
• Ordinal Variables: Categories have a meaningful order or rank. Example: Satisfaction level (Low, Medium, High).
• Nominal Variables: Categories have no inherent order or ranking; they are just labels. Example: Gender, color.

Matching List-I with List-II

Explanation of Matches

• A. Discrete: The 'number of times a coin is flipped' (III) is a count, making it a discrete variable.
• B. Continuous: 'Height of a person' (IV) can take any value within a range, hence it's a continuous variable.
• C. Ordinal: 'Socio Economic Status' (I) involves categories with a clear order (e.g., Low, Middle, High), making it ordinal.
• D. Nominal: 'Gender of a person' (II) uses categories (Male, Female) that lack an intrinsic order, classifying it as nominal.

Correct Answer Derivation

Based on the definitions and the matches derived above:

• A matches with III
• B matches with IV
• C matches with I
• D matches with II

Therefore, the correct option is A-III, B-IV, C-I, D-II.