Cluster Random Sampling- this is used when a population is huge or spread out over a large area.
Convenience- The researcher gathers data from nearby sources of information exerting minimal effort. It is used by persons giving questionnaires on the streets to ask passersby.
Snowball- the samples have traits that are rare to fine. This is a sampling technique in which existing subjects provide referrals to recruit samples required for a research study.
Qouta Sampling- Sample units are placed for convenience but certain qoutas are given to interviews. This design is spezially used in maker research (traits/qualities)
Volunteer Sampling- Sample units are volunteers in studies wherein the measuring process is painful or troublesome to a respondent.
PARAMETER- Measurement or quantity that describes the population
Statistics - Measurement of quantity that describes the sample.
Stratifies Random Sampling- The population is divided into smaller groups, or "STRATA" that share a characteristics people from each smaller group are randomly selected to form the sample
Systematic Random Sampling- This can be done by listing all the elements in the population and selecting KTH element in your population list.
Simple Random Sampling- Most basic random sampling wherein each element in the population has an equal probability of being selected.