Final answer:
People's favorite TV shows are an example of categorical data, which is a type of data that can be grouped into categories, unlike quantitative data that are numerical and can be discrete or continuous.
Step-by-step explanation:
The classification of data regarding people's favorite TV show falls into the category of categorical data. Categorical data refer to data that can be divided into groups or categories. In contrast, quantitative data are numerical and can be either discrete (countable numbers) or continuous (measurements that can take any value within a range).
For example, if you have a list of favorite TV shows such as comedy, drama, science fiction, sports, and news, you group responses into these categories without assigning numerical value to them. Hence, it's categorical rather than quantitative.
To further illustrate, quantitative discrete data might be the number of TV episodes watched per week. This countable number can be represented as a finite set of values, such as 1, 2, 3, etc. Quantitative continuous data might be the duration of time spent watching TV, which can take on any value within a range of times.