a statistical variable is a measurable or observable characteristic that can differ among individuals or objects in a population or sample. researchers use these variables in statistical analysis to examine patterns, relationships, and trends in data.

statistical variables fall into several categories:

• quantitative variables: numerical measurements (e.g., height, weight, age)
• qualitative variables: categorical or descriptive attributes (e.g., color, gender, education level)
• discrete variables: countable values with distinct gaps (e.g., number of children)
• continuous variables: measurable values on an unbroken scale (e.g., temperature, time)

recognizing the variable type is essential for choosing suitable statistical methods and accurately interpreting results.