Due to the role of sampling error,nonequivalent sample means do not necessarily indicate nonequivalent population means.

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Quizplus · Accepted Answer

Sampling error refers to the natural variation between samples drawn from a population. Due to this variation, even if two samples appear to have different means, it is possible that they are simply the result of chance and do not represent a true difference in the population means. Therefore, nonequivalent sample means do not necessarily indicate nonequivalent population means.

Due to the Role of Sampling Error,nonequivalent Sample Means Do