Final answer:
The question in column E is about identifying the type of data obtained from a survey, which could be numerical, categorical, textual, or boolean. Examples of these are quantitative discrete, quantitative continuous, and qualitative data.
Step-by-step explanation:
The question in column E seems to pertain to identifying the type of data obtained from various entities in a survey. The answer to what type of data the question in column E is asking for could either be numerical data, categorical data, textual data, or boolean data. However, without the exact wording of the question, it is not possible to give a definitive answer. Instead, we can review examples of different types of data:
- Quantitative discrete data is represented by counts that are whole numbers, such as 'the number of pairs of shoes you own' or 'the number of classes you take per school year'.
- Quantitative continuous data is represented by measurements that can take on any value within a range, such as 'the distance from your home to the nearest grocery store' or 'weights of sumo wrestlers'.
- Qualitative or categorical data is about qualities or categories, such as 'the type of car you drive' or 'the type of calculator you use'.
Data can be numerical and reported categorically at times, like quiz scores being transformed into letter grades. The student's ability to justify the selection of the kind of data needed to answer a scientific question is critical and aligns with learning objective 4.1 from the Advanced Placement (AP) guidelines.