Random Sampling - English Definition & Meaning

Definition

Random sampling is a method of selecting a subset of individuals from a larger population in a completely random way. This ensures that every member of the population has an equal chance of being chosen. 🎲 Imagine drawing names out of a hat; everyone has the same probability of getting picked. Random sampling minimizes bias and helps ensure that the sample accurately represents the entire population. It's a cornerstone of statistical analysis and research. Without random sampling, results can be skewed and unreliable. It's a fundamental principle for conducting fair and accurate surveys and experiments.

Etymology

The phrase "random sampling" combines "random" and "sampling." "Random" comes from Old French "randum," meaning "haste, force." This evolved to mean "without aim or reason," and eventually "arbitrary" or "chance." "Sampling," as discussed before, refers to selecting a subset from a larger group. Together, the phrase denotes a selection process based purely on chance.

Related Words

Examples

• "The study used random sampling to ensure the results were unbiased."
• "A random sampling of students were selected to participate in the survey."
• "The lottery uses random sampling to pick the winning numbers."
• "Random sampling is essential for reliable scientific research."

Encouragement

Think about the role of random sampling in everyday life. From polls to scientific research, it's essential for generating trustworthy results. Be critical of claims that are not based on proper random sampling. Being informed is key. 🤓

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