True or False: Continuous variables are examples of qualitative data.

Continuous variables represent quantities that can take on an infinite number of values within a given range. Examples of continuous variables include height, weight, temperature, and time. These variables are measured on a scale and can exhibit decimal values, making them a type of quantitative data.

In contrast, qualitative data, sometimes referred to as categorical data, consists of categories or labels that describe characteristics or qualities but do not quantify them. Examples include color, gender, or any data that consists of non-numeric values.

The distinction between continuous variables and qualitative data is crucial in statistical analysis, as they fundamentally represent different types of information. Continuous variables allow for mathematical operations and statistical computations, while qualitative data is analyzed differently, often through frequency counts and mode calculations.

Therefore, stating that continuous variables are examples of qualitative data is inaccurate, making the assertion false.