The Importance Of Random Sampling In Research Studies

random sample

a sample that fairly represents a population because each member has an equal chance of inclusion

A random sample is a sample that is taken from a population in a random manner, without any bias or pre-selection of individuals. In a random sample, each member of the population has an equal chance of being selected.

Random sampling is a commonly used method in research studies to ensure that the data collected is representative of the population being studied. It is often used in studies in which it is impossible or impractical to study the entire population. For example, if a researcher wants to study the attitudes of Americans towards healthcare, it would be impractical to survey every single American, so instead, a random sample of Americans is chosen.

The advantage of using a random sample is that it minimizes bias and ensures that the sample is representative of the population being studied. This increases the likelihood that the results obtained can be generalized to the population as a whole.

Overall, the use of random sampling is an important method in ensuring the validity and reliability of research studies.

More Answers:
Experimental Probability: Calculation, Importance, And Limitations
Equally Likely Events: A Guide To Probability And Decision Making
Population: The Significance Of This Concept In Biology, Ecology, Economics And Sociology

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