ADEQUATE SAMPLE Meaning and
Definition
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Adequate sample refers to a representative portion or subset of a population that is selected for research or statistical purposes. It is a crucial concept in various fields, such as social sciences, market research, and medical studies, where data collection and analysis are necessary.
An adequate sample is one that accurately reflects the characteristics and diversity of the entire population under investigation. It is essential to ensure that the sample is large enough and possesses the necessary attributes to yield meaningful and reliable results. The size and composition of the sample are determined based on statistical principles, aiming to minimize bias and maximize the representativeness of the findings.
The process of selecting an adequate sample involves careful consideration of various factors, including the research objectives, the population size, and its heterogeneity. Different sampling techniques, such as random, stratified, or cluster sampling, may be employed to achieve an adequate sample. Random sampling, in particular, helps to eliminate bias by ensuring each member of the population has an equal chance of being included.
By obtaining an adequate sample, researchers can draw valid conclusions and make reliable inferences about the larger population. Adequate sampling enables generalizations and predictions to be made with a certain degree of confidence. It ensures that the findings derived from the sample can be applied to the target population or used to inform decision-making, policy development, or further investigations.
Etymology of ADEQUATE SAMPLE
The word "adequate" comes from the Latin word "adequatus", which means "made equal" or "fit". The word "sample" comes from the Old French word "essample", which means "example" or "model". The combination of these two words, "adequate sample", refers to a sufficient or appropriate example or representation of something.
