# Types of 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) 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.

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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 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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