Distinguish between random sampling and non-random sampling.

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Aspect	Random Sampling	Non-random Sampling
Definition	Random sampling is a technique where each sample has an equal chance of being selected.	Non-random sampling is a technique where samples are selected based on factors such as convenience, judgment, and the researcher’s experience, rather than probability.
Biases Involved	Random sampling is unbiased.	Non-random sampling is biased in nature.
Based On	Based on probability.	Based on factors like convenience, judgment, and researcher experience, not probability.
Representation of Population	Random sampling tends to be representative of the entire population.	Non-random sampling often lacks proper representation of the whole population.
Chances of Zero Probability	There is no chance of zero probability in random sampling.	Zero probability can occur in non-random sampling.
Complexity	Random sampling is straightforward and easy to execute.	Non-random sampling is generally more complex.