- Simple Random Sampling Without Replacement (SRSWOR): The most common type of sampling is this one. The concept is that you cannot choose the same number more than once. The term “Without” Replacement was born.
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Simple Random Sampling With Replacement (SRSWR): When the total number of values (Population) is minimal, this kind of sampling is employed. Repetition in the chosen values is permitted.
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Stratified Sampling:
A stratum is a group.
Stratified sampling ensures that a small number of randomly chosen values are taken from each category.
Examine the example below, which has three different kinds of numbers. Ten, one hundred, and five hundred series.
It is possible that any one of the series will go entirely unnoticed if you choose five digits at random. The example below shows that the 10 series numbers are entirely absent.
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Systematic Sampling:
Systematic sampling involves choosing each ‘i’th value. Every fifth or tenth number, for instance.
A straightforward mechanism is in place. This determines the values’ index.
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Biased Sampling:
As the name suggests, this is when you selected values based on your choice purposefully.
This type of sampling is also known as purposeful sampling or convenience sampling