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Types of Sampling

Cluster Sampling
Cluster Sampling

What is Cluster Sampling? My Accounting Course 2017-10-01T07:33:30+00:00 Definition: Cluster sampling is a statistical sampling technique used when the population cannot be defined as being homogenous, making random sampling from classifications possible.

Simple Random Sampling (SRS)
Simple Random Sampling (SRS)

Show how to use SRS as a technique to gather data. This packet introduces you to simple random sampling, a basic method of sampling. There are definitions, simple examples, somewhat more complicated examples, and reasoning behind why we use this method.

source: sophia.org
Stratified Sampling
Stratified Sampling

Stratified random sampling is a better method than simple random sampling. Stratified random sampling divides a population into subgroups or strata, and random samples are taken, in proportion to the population, from each of the strata created.

Systematic Sampling
Systematic Sampling

Systematic sampling is a type of probability sampling method in which sample members from a larger population are selected according to a random starting point and a fixed, periodic interval. This interval, called the sampling interval, is calculated by dividing the population size by the desired sample size.

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