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Non-random sampling involves methods where not every individual has an equal chance of being selected. In this case, choosing all students from one class is an example of convenience sampling, a type of non-random sampling. This approach is often faster and easier but can introduce bias, as the sample may not represent the broader population. For instance, a single class might share similar characteristics that don’t reflect the diversity of the entire student body. Why Other Options Are Wrong : A) Systematic sampling is random, as every 10th customer is chosen systematically but without bias. B) Random number generation ensures random selection. D) Stratified sampling is a random technique that ensures proportional representation. E) A random number table is a classical random sampling method.
Match List I with List II