Ideal sampling example

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Here the samples are selected based on the availability. This type of sampling is also known as non-random sampling. Outcome of sampling might be biased and makes difficult for all the elements of population to be part of the sample equally.

This technique is more reliant on the researcher’s ability to select elements for a sample.

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