If a sample is selected using random sampling methods, the primary reason that the sample mean might be different from the corresponding population mean is that the sample might be biased.

Question

Quizplus · Accepted Answer

The primary reason the sample mean might differ from the population mean is due to sampling variability or random sampling error, not necessarily because the sample is biased. Random sampling aims to reduce bias, but natural variations between samples can still occur.

If a Sample Is Selected Using Random Sampling Methods, the Primary