Work through the list without notes. If you cannot do a statement, follow its link, then come back. Guide = study guide; Practice = practice questions.
Understanding
- I can explain why a sample chosen by chance lets me generalise to the population, and why a haphazard choice is not random. (Guide: “Why choose a sample at random?”)
- I can explain the difference between sampling with replacement and sampling without replacement. (Guide: “Sampling without replacement and with replacement”; Practice Q4)
- I can state what makes a sample a simple random sample: every possible sample of size n is equally likely. (Guide: “Simple random sample (SRS)”; Practice Q2)
- I can explain how strata differ from clusters, both in how the groups are formed and in who is sampled. (Guide: “Strata versus clusters”; Practice Q1)
Skills
- I can identify a simple random, stratified, cluster or systematic random sample from a description of a study. (Guide: Worked example 2; Practice Q1, Q2)
- I can describe how to select an SRS with a random number generator or numbered slips, including labels, repeats and a stopping rule. (Guide: Worked example 1; Practice Q5)
- I can use a line of random digits to choose an SRS, skipping numbers that are not labels and repeats. (Guide: Worked example 1; Practice Q5)
- I can describe how to select a stratified sample, including a sample size in proportion to each stratum. (Guide: Worked example 2; Practice Q7)
- I can describe how to select a cluster sample and a systematic sample, including the interval k and the random start. (Guide: “Systematic random sample”; Practice Q6, Q7)
Reasoning
- I can choose a useful characteristic for strata and explain why it helps. (Guide: “Stratified random sample”; Practice Q3)
- I can explain why a systematic sample can fail when the list has a repeating pattern. (Practice Q6)
- I can justify which sampling method suits a given question and population, using the context. (Guide: “Choosing a method”; Practice Q7)
All ticked? Move on to Topic 1.12, Potential Problems with Sampling, in the Topic 1.12 study guide, or return to the course roadmap.