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Simple random sample
Every individual has an equal chance at being selected, least variation, every combo is equally likely, RNG
Stratified random sample
Divide pop into groups based on similarity, homogenous, each strata is random, least variation, everyone is represented
Cluster sample
Heterogenous cluster, group-cluster, pop divided into clusters and survey everyone in that group, more variation
Systemic random sample
Put pop in random orders, choose starting point, select every kth individual, most variation
Convenience random sample
Pick who is easily available, more variation
Voluntary sample
An easy, cheap, and biased survey where individuals choose to participate, more variation
Under coverage
Some individuals are less likely to be chosen ( left out / no chance )
Nonresponse
Individual can't be reached or won't respond
Response bias
Self-reporting, wording of the question
Population
Entire group of interest, parameters
Sample
Subset of population, statistics
Groups
Strata
Causation
Needs an experiment
Experiment
Treatment is being imposed, randomly assigned treatment, causation
Observational study
Data collected from random sample, can generalize to population
Treatment
What is done ( or not ) to the experimental units
Experimental units
Who / what gets the treatment
Confounding variables
Outside variables
Blinding
Unit doesn't know