A statistical question is designed to anticipate variability in answers and can be addressed by collecting data from a clearly defined population or sample, such as measurements, counts, or categorical responses. Formulating one requires specifying what characteristic will be measured and recognizing that a question with a single known answer is not statistical; formal inference, hypothesis testing, and advanced sampling design are beyond this understanding.
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A statistical question is a question whose answers are expected to vary from person to person or item to item. To formulate one:
Choose a clear population or sample.
Decide who or what you will collect data from.
Choose the characteristic to measure.
This could be a measurement, a count, or a category.
Expect different answers.
If everyone must give the same answer, or there is only one known answer, the question is not statistical.
Suppose a teacher wants to learn about homework habits.
Step 1: Choose the population.
The population could be all Grade 7 students at the school.
Step 2: Choose what to measure.
The characteristic is the number of minutes each student spends on homework on a typical school night.
Step 3: Check whether answers will vary.
Students will probably spend different amounts of time. For example, their answers might be minutes, minutes, or minutes.
Step 4: Write the statistical question.
How many minutes do Grade 7 students at our school typically spend on homework on a school night?
This is a statistical question because:
Compare it with this question:
How many minutes did Maya spend on homework last night?
That is not a statistical question because it asks about one person and one specific event, so it has one answer rather than a collection of varying data.
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