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Section 1.5-Sampling

Types of Sampling_Probability & Statistics - Math 1530

Random Sampling members from the population are selected in such a way that each individual member in the population has an equal chance of being selected
SImple Random Sampling of 'n' subjects selected in such a way that every possible sample of the same size 'n' has the same chance of being chosen
Systematic Sampling select some starting point then select ever 'k'th element in the population
Convenience Sampling use results that are easy to get
Stratified Sampling subdivide the population into at least two different subgroups that share the same characteristics, then draw a sample from each subgroup (or stratum)
Cluster Sampling divide the population area into sections (or clusters); randomly select some of those clusters; choose all members from selected clusters
Multi-Stage Sampling Collect data by using some combination of the basic sampling methods. (Pollsters select a sample in different stages, and each stage might use different methods of sampling)
Created by: hfanch24