The mean of the sampling distribution of $\bar { x }$ is always equal to the mean $\mu$ of the sampled population.

Name: The mean of the sampling distribution of $\bar { x }$ is always equal to the mean $\mu$ of the sampled population.
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The mean of the sampling distribution of the sample mean ($\bar{x}$) is equal to the population mean ($\mu$) due to the Central Limit Theorem, assuming a sufficiently large sample size and random sampling.

The Mean of the Sampling Distribution Of xˉ\bar { x }xˉ

The Mean of the Sampling Distribution Of $\bar { x }$