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Random sample
Every element of the population has a known NONZERO chance of being selected
Simple Random Sample
Everyone has an equal chance of being selected
Stratified Sample
Population is divided into groups based on characteristics. Within the group, a simple random sample is selected.
Strata
The initial groups of a stratified sample
Cluster Sample
Population is assigned one and only one group called a cluster. A sample of clusters is chosen then surveyed
Multistage Sample
A sample that is combination of different sampling methods are used
Systematic Sample
Every member of the population is first made and chosen to be put on a list. Every “k”th element on the list is chosen
Match Pair Design
Experiment that only has two treatment methods and subjects can be grouped into pairs
Repeated Measure Design
Each subject is treated at DIFFERENT TIMES with each of the treatments and results being compared. A TYPE OF MATCH PAIR