When – occurs, each member of a population has an equal chance of being selected. – is when people in subsets of the population are randomly sampled. – is often used to select, in an unbiased way, small subsets of the population that are not large enough in number to be accurately measured. All three of these techniques are – sampling techniques.

When RANDOM SAMPLING occurs, each member of a population has an equal chance of being selected.

CLUSTER SAMPLING is when people in subsets of the population are randomly sampled.

OVERSAMPLING is often used to select, in an unbiased way, small subsets of the population that are not large enough in number to be accurately measured.

All three of these techniques are REPRESENTATIVE sampling techniques.

Explanation:

The above items described are sampling techniques that can be used in research methods. The scientist/researcher decides the best method to use based on the kind of work he's carrying out.

Often time, A random sampling is carried out. Also, some researches involve the use of one or more of the stages. This is known as Multi-stage sampling techniques.

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