As the question states, I'm interested in the difference between CIs, SEM, and SD, explained in plain words (so as to be able to communicate it to people without maths/stats background).
My current understanding (mainly gained through Googling around) is that:
- CIs indicate the reliability of a measurement
- SEM reflects the uncertainty in the (sample?) mean and its dependency on the sample size
- SD informs us about the spread of the population (i.e. SD reflects the variation of the data)
Is that correct?