What is the primary focus when analyzing nominal data?

When analyzing nominal data, the primary focus is on the frequency of categories. Nominal data consists of distinct categories that do not have a specific order or ranking, such as colors, types of fruit, or names. The analysis involves counting how many instances fall into each category to understand how often each category occurs. This frequency count provides valuable insights into the distribution of categorical data.

It is important to note that other aspects, like the order of categories, mean, and variability, do not apply to nominal data. While nominal data can tell us how many cases belong to each category, it does not provide information about order (as nominal categories are unordered), does not support the calculation of a mean (as this requires numerical data), and does not focus on variability in the same way that numerical data might. Thus, counting the occurrences in each category is the most relevant approach for nominal data analysis.