Which type of data is considered quantitative?

Quantitative data refers to information that can be measured and expressed numerically, making it suitable for statistical analysis. In this context, the correct choice is continuous data. Continuous data is a type of quantitative data that can take on any value within a given range and can be infinitely divided, such as height, weight, or temperature.

Discrete data, while also quantitative, refers to countable values such as the number of people in a room or the number of defects in a batch. It cannot take on every value within a range as continuous data can.

Categorical and qualitative data are fundamentally different from quantitative data. Categorical data refers to distinct categories or groups that do not have inherent numerical values, such as colors or types of animals. Qualitative data is similar in that it describes characteristics or qualities that cannot be quantified. Understanding these distinctions is crucial for accurate data analysis in Six Sigma methodologies, where quantitative data is often analyzed to identify trends, measure performance, and support decision-making processes.