What Is a Statistical Question?

A statistical question is a question that anticipates variability in the data — meaning you expect a range of different answers, and you answer it by collecting and analyzing data rather than by looking up one fixed fact.

The key test: Ask yourself, "Will the answers vary?"

• If you expect many different answers → it's a statistical question.
• If there's only one exact answer → it's not a statistical question.

Examples of statistical questions:

• "How tall are the students in my class?" — heights vary from student to student.
• "How many hours do people sleep each night?" — answers differ across people.
• "What is the typical price of a used car in my city?" — prices vary.
• "How long does it take students to get to school?" — commute times vary.

Examples that are NOT statistical questions:

• "How tall am I?" — one person, one fixed answer.
• "How many students are in my class today?" — a single countable fact.
• "What is the capital of France?" — one correct answer.
• "How many hours did I sleep last night?" — a single value.

How to turn a non-statistical question into a statistical one: Broaden it from an individual to a group.

• Not statistical: "How old is my dog?"
• Statistical: "How old are the dogs at the dog park?"

Why it matters: Statistical questions are the starting point of data analysis. Because the answers vary, you describe them using measures like the mean, median, mode, and range rather than giving a single number.

In short: if answering the question requires gathering data that varies across a group, it's a statistical question.