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Why sampling error is negative, what does it means...?

The case related to exercise n. 10
My question: Why sampling error is negative, what does it means and how it’s possible that no one asked this question before?! It seems to be an important part of understanding a sample error.

in this case the age mean of your sampled group was 1.4 lower than the original datasets age mean, thus it’s a negative number
BMI mean of your sample was 0.23 higher than the mean of original dataset so a ‘positive’ error (not sure if we can call it like that, lets just say positive value)

So it means that sampling error must be positive from the “zero” which needs to be defined because it’s not trivial zero. Good to know. Thank you for your reply!