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Mathematics · Grade 10

Designing Studies and Sampling

Learners study where data come from. They compare sampling methods and see sampling variability in a simulation, identify sources of bias, distinguish observational studies from experiments, explain confounding, design experiments with control, random assignment, replication, blocking and blinding, and decide what conclusions a study's design allows.

  • 4 lessons
  • About 140 minutes
  • Study design check: 11 questions
  • Ways to answer: choose an answer, highlight a text, match pairs, type a number, put in order and sort into groups
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What learners will discover

  • Describe populations, samples, parameters and statistics, compare sampling methods, and explain why random sampling matters.
  • Identify sources of bias in sampling and measurement and explain their likely effect.
  • Distinguish observational studies from experiments and explain how confounding limits conclusions.
  • Design experiments using control, random assignment, replication and blocking, and state the scope of inference.

Lessons

  1. Populations, samples and sampling methods 5 steps3 practiceabout 36 min
  2. Sources of bias 5 steps3 practiceabout 32 min
  3. Observational studies and experiments 4 steps2 practiceabout 32 min
  4. Designing experiments 6 steps3 practiceabout 40 min
  5. Study design check 11 questions at the end

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