Random sample
Random Sample
Random Sample (pronunciation: /ˈrandəm ˈsampəl/) is a statistical term used in research. It refers to a subset of individuals randomly selected by researchers from a larger population. The term is derived from the English words "random" and "sample".
Etymology
The term "random" originates from the Old French word "randir" which means "to run fast", and the Middle Dutch word "randon" which means "speed". The term "sample" comes from the Old French word "essample", which means "model".
Definition
A Random Sample is a group of subjects chosen from a larger group, known as a population. Each individual is chosen randomly and entirely by chance, such that each individual has the same probability of being chosen at any stage during the sampling process.
Importance
The use of Random Sample is crucial in statistical research as it ensures that the sample represents the population accurately, thereby eliminating bias. This allows for more accurate generalizations about the population based on the sample.
Related Terms
- Population: In statistics, a population is the entire pool from which a statistical sample is drawn. A population may refer to an entire group of people, objects, events, hospital visits, or measurements.
- Sampling Bias: Sampling bias is a bias in which a sample is collected in such a way that some members of the intended population have a lower or higher sampling probability than others.
- Simple Random Sample: A simple random sample is a subset of a statistical population in which each member of the subset has an equal probability of being chosen.
External links
- Medical encyclopedia article on Random sample
- Wikipedia's article - Random sample
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