Definition of Random Sampling Sampling is based on probability theory –in its broadest sense, if we can choose respondents randomly and appropriately from the larger population, the results from that random sample will be very close to what we would get by interviewing every member of the population. Random sampling is a technique in which each sample has an equal probability of being chosen. A sample chosen randomly is meant to be an unbiased representation of the total population. Random sampling is a part of the sampling technique in which each sample has an equal probability of being chosen. A sample chosen randomly is meant to be an unbiased representation of the total population. If for some reasons, the sample does not represent the population, the variation is called a sampling error. Overview of Random Sampling Random sampling is one of the simplest forms of collecting data from the total population. Under random sampling, each member of the subset carries an equal opportunity of being chosen as a part of the sampling process. For example, the total workforce in organizations is 300 and to conduct a survey, a sample group of 30 employees is selected to do the survey. In…