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Sampling:
“A sample is a finite part of a statistical population whose properties are studied to gain information about the whole” (Webster, 1985). When dealing with people/population, it can be defined as a set of respondents (people) selected from a larger population for the purpose of a survey or study. Whereas population can be defined as larger group of individuals selected to participate in a survey or study. Sampling Methods can be classified into two main categories:
• Probability Sampling
• Non-probability Sampling Further, main categories can be divided into their sub-categories as mentioned in the diagram.

 Probability Sampling:
It is the best method to achieve representative sample in which sample has an acknowledge chance
Systematic sampling: Selecting every Kth subject or item from the list of population is called systematic sampling. Whereas value of k (the sampling interval) can be calculated as: k= N/n
(“n” is the sample size, and “N” is the population size).