A major factor affecting the standard error of the mean (SEM) is the sample size. As the sample size increases, the SEM decreases because a larger sample provides a more accurate estimate of the population mean, leading to less variability. Additionally, the variability of the data itself, measured by the standard deviation, also influences the SEM; higher variability results in a larger standard error.
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