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Population
Full set of observations of interest (denoted as N)
Sample
Subset of the population (denoted as n)
Simple Random Sample
Every possible sample if size n has an equal chance of being selected
Stratified Sampling
divide the population into groups and sample from each
Cluster sampling
Divide the population into clusters, select a cluster, and include all members
Systematic sampling
Select every kth observation from a list of all N
Convenience Sampling
Choose observations easiest to access
Voluntary sampling
Observations volunteer to participate
Sampling Bias
When a subset of population has a lower/higher chance of being selected
Measurement Bias
Collected data is inaccurate
Non-Response bias
Some selected observations fail to provide data, or response is not recorded
Observer Bias
The person recording data allows their expectations, beliefs, or subjective judgement influence the results