Understand and use the terms population and sample.

Terms and definitions

Be able to use samples to make informal inferences about a population, recognising that different samples might lead to different conclusions.

e.g. using sample mean or variance as an estimate of population mean or variance.

Sampling techniques

Understand and be able to use the concept of random sampling.

Simple random sampling. Every sample of the required size has the same probability of being selected.

Sampling techniques

Understand and be able to use a variety of sampling techniques.

Opportunity sampling, systematic sampling, stratified sampling, quota sampling, cluster sampling, self-selected samples.
Any other techniques will be explained in the question.

Using sampling techniques

Be able to select or evaluate sampling techniques in the context of solving a statistical problem.

Includes recognising possible sources of bias and being aware of the practicalities of implementation.

Using sampling techniques