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Definitions from the WebRandom SamplingDefinition:Random sampling refers to the process of selecting a subset of individuals or objects from a larger population in a way that each member has an equal chance of being chosen. It is commonly used in statistical analysis to gather representative data for research or analysis purposes. Senses and Usages:
In statistics, random sampling involves selecting a subset of individuals from the population in a random manner, ensuring every individual has an equal probability of being included. It helps in minimizing biases and obtaining reliable data for analysis. Example sentence: The researcher used random sampling to select 100 participants from a pool of 1000 for the survey. In computer science, random sampling refers to the technique used for selecting a random element or subset of elements from a larger dataset or array. It is useful in various algorithms and applications. Example sentence: The program uses random sampling to generate a test dataset for training the machine learning model. The term "random sampling" is sometimes used colloquially to describe an unpredictable or haphazard choice made without a specific reason or purpose. Example sentence: We went on a road trip and took random sampling detours along the way. Related Products:Check out the following related products on Amazon: | ||||
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