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Sampling Methods

Practicing sample method vocabulary

TermDefinition
Population All experimental units that you want to make a conclusion about.
Sample Small group of the population that you use in your experiment/study/survey.
Simple Random Sample Every experimental unit has the same chance of being picked
Stratified Random Sample Dividing a population into smaller sub-groups based on shared attributes or characteristics. After this division, randomly select the sample from each sub-group.
Cluster Sample Population is brown down into groups generally by location. All members of one (or more) groups are taken as the sample.
Convivence Sample Selecting individuals that are the most convenient to reach out to or contact
Systematic Sample The first experimental unit is selected at random and each additional experimental unit is selected at a predetermined or periodic interval.
Bias Consistent, repeated measurements that are not close to the population parameter. Inaccuracy created in the data.
Experiment A procedure where treatments are implemented to test a claim.
Sampling Frame List of individuals from whom the sample is drawn. Not always the population of interest.
Statistic Describes a sample of the population. Changes from sample to sample.
Parameter Describes the population. Often unknown. Fixed value.
Created by: klupher
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