Glossary

Clustered Sampling

Clustered Sampling:

Clustered sampling is a sampling technique based on dividing the whole population into groups (“clusters”), then using random sampling to select elements from the groups.

For example, if the target population is the whole population of a city, a researcher might select 100 households at random and to include all members of each houshold in the sample. The reason is that a households represent various types of populations, e.g. children and adults, housewives and working women – because a great part of the whole population belongs to such households.

Browse Other Glossary Entries

Test Yourself

Planning on taking an introductory statistics course, but not sure if you need to start at the beginning? Review the course description for each of our introductory statistics courses and estimate which best matches your level, then take the self test for that course. If you get all or almost all the questions correct, move on and take the next test.