In a process improvement project, a Six Sigma Black Belt measures discrete data including error...

The correct answer is A. attribute data . In the CSSBB source, attribute charts are used for characteristics such as pass/fail, good/bad, number of defects, and number of defectives, and the text explicitly states that attributes are discrete, counted data . This fits the question exactly because error counts in the final product are count-based and therefore discrete rather than continuous. The CSSBB material also identifies attribute data as one of the primary types of data used in Six Sigma, alongside variables data and locational data.

A data collection plan is a method for organizing how data will be gathered, not a type of data. Stratified data refers to data separated into meaningful subgroups, such as by shift, machine, or supplier, but that does not define whether the data are discrete or continuous. Continuous data, by contrast, involve measurements on a scale such as weight, time, or length. Since the question specifically describes discrete counts of errors, the CSSBB-consistent term is attribute data . This is why the best and verified answer is A .