SIMPLE RANDOM SAMPLES Meaning and
Definition
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A simple random sample refers to a subset of individuals or items that is selected from a larger population in a manner that ensures every member of the population has an equal opportunity to be chosen. In other words, a simple random sample is obtained by a process where each member of the population has an equal likelihood of being included in the sample, and where the selection of one member does not influence the selection of another.
The process of obtaining a simple random sample typically involves assigning a unique number or identifier to each member of the population. Then, a predetermined number of these numbers are selected using a randomization method such as random number tables or computer-generated random numbers. The members corresponding to the selected numbers are included in the sample.
One key advantage of simple random sampling is its ability to provide an unbiased representation of the population, as every member has an equal chance of being chosen. This makes it an important tool in various fields such as statistics, social sciences, and market research, where accurate inferences about a larger population are desired.
However, it is crucial to ensure that the population is well-defined and that the selection process truly randomizes the sample. Biases can arise if the population is not accurately defined or if the selection process is influenced by subjective factors. Therefore, strong adherence to the principles of simple random sampling is essential for obtaining reliable and statistically valid results.
