explain random sampling method
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Explanation:
Simple random sampling is defined as a sampling technique where every item in the population has an even chance and likelihood of being selected in the sample. Here the selection of items entirely depends on luck or probability, and therefore this sampling technique is also sometimes known as a method of chances.
Simple random sampling is a fundamental sampling method and can easily be a component of a more complex sampling method. The main attribute of this sampling method is that every sample has the same probability of being chosen.
Example of random sampling
Follow these steps to extract a simple random sample of 100 employees out of 500.
Make a list of all the employees working in the organization. (as mentioned above there are 500 employees in the organization, the record must contain 500 names).
Assign a sequential number to each employee (1,2,3…n). This is your sampling frame (the list from which you draw your simple random sample).
Figure out what your sample size is going to be. (In this case, the sample size is 100).
Use a random number generator to select the sample, using your sampling frame (population size) from Step 2 and your sample size from Step 3. For example, if your sample size is 100 and your population is 500, generate 100 random numbers between 1 and 500.