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population
Entire group we want info from.
sample
Subset of population we actually collect data from.
census
Survey that collects info from everyone in the population.
convenience sample
Sample taken conveniently for the surveyor.
problems with convenience samples
Leads to bias because they are taken in a way convenient to the sampler, not a good representation of the population.
bias
Studies show bias if they are likely to overestimate or underestimate the value being identified.
voluntary response sample
Sample from those who volunteer.
problems with voluntary response samples
People who volunteer often have stronger opinions and may be negatively charged.
simple random sample
Chosen so every group within a population has an equal chance of being sampled.
strata
Variables/aspects by which populations can be split to capture diverse perspectives.
stratified random sample
Population is split into stratas then data is collected via simple random samples from those stratas.
low bias and low variability
Indicators of the best estimates produced by a sampling method.
replacement
An individual being put back into the population with a chance of re-selection.
Sampling frame
List of individuals that form the population from which a sample is taken.
undercoverage
Type of inherent bias where members of a population are excluded based on sampling method.
response bias
Pattern of inaccurate responses in a survey.
observational study
Study where no treatment is imposed.
experiment
Study where treatment is imposed.