Study Hub

Study Guides

This pupil-friendly study guide includes a unit summary, clear notes, common mistakes, and quick questions with answers.

Back to Study HubBrowse Year 10 Maths Guides

Year 10 - Maths

Stratified sampling

Sampling

Unit Summary

In this unit pupils will learn how to sample, and explore accuracy and limitations with various sampling strategies and data collection techniques.

Lesson Summary

You will learn to carry out a stratified sample.

Key Notes

  • A biased sample is not necessarily bad.
  • You may wish to represent certain groupings in your sample.
  • The sample from each group is proportional to the group size.

Vocabulary To Learn

  • Strata: A population may be split intro strata (groups). Each stratum is distinct and each item in the population can only belong to one stratum.
  • Stratified sample: A stratified sample is where a representative sample is taken from each stratum.

Common Mistakes To Avoid

  • Stratified sampling is biased and therefore produces a bad sample.

3 Quick Questions (With Answers)

1. Solve this in steps: explain the method from this lesson and why each step matters.

A biased sample is not necessarily bad. You may wish to represent certain groupings in your sample.

2. Use this key word in a maths sentence and explain it clearly. 'Strata'

A population may be split intro strata (groups). Each stratum is distinct and each item in the population can only belong to one stratum. Use this word when showing your method, then check your final answer is reasonable.

3. Spot and fix this common maths mistake.

Mistake: Stratified sampling is biased and therefore produces a bad sample. Correction: Stratified sampling is used to take a representative sample from the population. Selecting from within the strata can be done using a simple random sample.

More Lessons In This Unit

Browse all guides in the Year 10 Maths guide library.