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18 Terms

1
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population

Entire group we want info from.

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sample

Subset of population we actually collect data from.

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census

Survey that collects info from everyone in the population.

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convenience sample

Sample taken conveniently for the surveyor.

5
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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.

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bias

Studies show bias if they are likely to overestimate or underestimate the value being identified.

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voluntary response sample

Sample from those who volunteer.

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problems with voluntary response samples

People who volunteer often have stronger opinions and may be negatively charged.

9
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simple random sample

Chosen so every group within a population has an equal chance of being sampled.

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strata

Variables/aspects by which populations can be split to capture diverse perspectives.

11
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stratified random sample

Population is split into stratas then data is collected via simple random samples from those stratas.

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low bias and low variability

Indicators of the best estimates produced by a sampling method.

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replacement

An individual being put back into the population with a chance of re-selection.

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Sampling frame

List of individuals that form the population from which a sample is taken.

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undercoverage

Type of inherent bias where members of a population are excluded based on sampling method.

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response bias

Pattern of inaccurate responses in a survey.

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observational study

Study where no treatment is imposed.

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experiment

Study where treatment is imposed.