You'll need to select a sample that represents a larger group when you're conducting

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a research study or survey. The sample should be chosen carefully so that it accurately reflects the characteristics and diversity of the larger group, known as the population. This process is known as sampling.

Sampling is crucial because it is often impractical or impossible to study or survey an entire population. By selecting a representative sample, researchers can make inferences and draw conclusions about the larger group based on the findings from the sample.

To select a representative sample, researchers employ different sampling techniques, such as random sampling, stratified sampling, cluster sampling, or convenience sampling, among others. Each method has its own advantages and considerations, and the choice depends on the research goals, available resources, and characteristics of the population.

Overall, selecting a sample that accurately represents a larger group is essential for ensuring the generalizability and validity of research findings.