Level 3 Mathematical Studies

Random sampling

A random member of the population is selected (using a random number generator etc.).

Cluster sampling

A random sample is taken from each distinctive group (clusters that have been made).

Stratified sampling

The sample is representative of the distinctive groups in the population.

Quota sampling

A given number of members is chosen in the population.

Pros and cons of random sampling

Pro - no bias

Con - time-consuming

Pros and cons of cluster sampling

Pros - cheaper + able to show regional values

Con - can be biased

Pros and cons of stratified sampling

Pros - proportionally representative + can easily identify trends

Con - time-consuming

Pros and cons of quota sampling

Pro - easy to capture

Con - can be biased