Sampling risk is defined as the risk that an inference drawn from a sample will be incorrect.

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Sampling risk is indeed defined as the risk that the conclusions drawn from a sample might not be accurate for the entire population. This can occur because of various reasons such as inadequate sample size, biased selection of samples, and faulty measurement techniques. Therefore, there is always a possibility of sampling risk associated with any inferential statistics that are based on a sample.

Sampling Risk Is Defined as the Risk That an Inference