Cluster Sample Cluster Sample is the portion of the population under research that is grouped together to split a large number of samples into smaller groups called clusters based on their similarity.
Stratified sample Stratified sample is a frequently used technique for mass polling. It involves the division of a population into subgroups and taking a random sample of each subgroup.
Representative sample Representative sample is a sample that is intended to be completely representative of the population from which it is drawn.
Quota sampling Quota sampling is a sampling data from each subgroup of a given population.
Work Sampling Technique Work Sampling Technique is a testing method based on measuring performance on actual job tasks.
Biased sample Biased sample is the term used in social surveys or any area where a conclusion is to be made about a large population. The sample of the population being studied
Stratified random sample Stratified random sample is one that divides the universe into subcategories, or strata, according to one or more characteristics and chooses randomly from within the strata being examined.
Probability sample Probability sample is a sample selected in such a way that each item or person in the population being studied has an equal likelihood of being included in the sample.
Information Sampling Model Information Sampling Model is a theory of group decision making suggesting that group members are more likely to discuss shared than
Sampling Sampling is the taking a small part of a population in order to draw inferences from the analysis of the sample characteristics to the population as a whole.
Definition
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