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Detailed explanation-1: -The process of selecting a sample is known as sampling. Number of elements in the sample is the sample size. The difference lies between the above two is whether the sample selection is based on randomization or not. With randomization, every element gets equal chance to be picked up and to be part of sample for study.

Detailed explanation-2: -The sampling method There are two types of sampling methods: probability sampling and non-probability sampling. The difference between them is that in probability sampling, every unit has a probability of being selected that can be quantified. This is not true for non-probability sampling.

Detailed explanation-3: -Sampling is the process of selecting units (e.g., people, organizations) from a population of interest so that by studying the sample we may fairly generalize our results back to the population from which they were chosen.

Detailed explanation-4: -Systematic sampling is a probability sampling method in which a random sample from a larger population is selected. more. Simple Random Sampling: 6 Basic Steps With Examples. A simple random sample is a subset of a statistical population in which each member of the subset has an equal probability of being chosen.

Detailed explanation-5: -Sampling is the selection of a subset of the population of interest in a research study. In the vast majority of research endeavors, the participation of an entire population of interest is not possible, so a smaller group is relied upon for data collection.