The SEM is a measure of precision for an estimated population mean. SD is a measure of data variability around mean of a sample of population.
When we can use SEM, and when we can use SD?
Mean ± SEM
SD/√n=SE, so far I recollect.
Generally, Mean+_SEM is used now a days.
Thanks.
For reporting samples' or replicates' characteristics, use Mean +/- SD. To describe a population, always use SEm. SD is an observed value while SEm or simply SE is an estimated value based on sample or replicate information.
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