Sampling risks arise when a sample doesn’t accurately represent the population it’s drawn from, potentially leading to incorrect conclusions. These risks are inherent in sampling and can lead to either accepting a flawed condition or rejecting a sound one. Researchers face sampling risks when testing samples, needing to assess the likelihood of accepting incorrect data or rejecting correct data.
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