The risk of incorrect rejection exists both in statistical and non-statistical sampling.

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The risk of incorrect rejection (also known as Type I error) can occur in both statistical and non-statistical sampling methods. This means that there is a chance of rejecting a sample or result as being outside of the acceptable range or not meeting specific criteria when it actually does. This can lead to incorrect conclusions being drawn and can impact decision-making in various fields.

The Risk of Incorrect Rejection Exists Both in Statistical and Non-Statistical