Skip to main content

What is it

Sampling covers methods for selecting a smaller group from a larger population to study — including random, stratified, and systematic sampling — along with the strengths and weaknesses of each method.

Why it matters

Every real-world statistic you'll ever read is based on a sample, not an entire population — understanding how a sample was chosen is essential for judging whether a statistical claim can actually be trusted.

Exam tip

For 'evaluate the sampling method' questions, always mention a specific strength AND a specific weakness relevant to the given scenario — generic, textbook answers that don't reference the context in the question score fewer marks.

Related topics

Want help mastering Sampling?

Tell us about the student's goals and confidence — we'll design a personalised plan.