What is the primary difference between qualitative and quantitative data?

The primary difference between qualitative and quantitative data lies in their characteristics and types of information they convey. Qualitative data encompasses descriptive information that captures qualities and characteristics that cannot be measured in numerical terms. This type of data often involves observations, interviews, and open-ended questions, providing insights into people's experiences, opinions, and motivations. Examples include descriptions of color, texture, feelings, or preferences.

In contrast, quantitative data is characterized by numerical values that can be counted or measured. It allows for statistical analysis and mathematical calculations. Examples include measurements such as height, weight, temperature, or test scores, which can be expressed using numbers.

Understanding this distinction is crucial in Six Sigma and data analysis since it influences the choice of tools and techniques for gathering, analyzing, and interpreting data.