The major error in inferential statistics is to commit the "sampling error".

Name: The major error in inferential statistics is to commit the "sampling error".
Brand: Quizplus
Rating: 4.8 (34 reviews)

Question

Quizplus · Accepted Answer

Sampling error is a common issue in statistics that arises from using a sample to estimate characteristics of a whole population, but it is not considered a major error in inferential statistics. Major errors typically refer to Type I (rejecting a true null hypothesis) and Type II errors (failing to reject a false null hypothesis).

The Major Error in Inferential Statistics Is to Commit the "Sampling