In statistics, standard deviation (SD) is defined as the measure of change or dispersion of data from the actual mean. Whereas standard error of the mean (SEM) is the measure of variation of sample mean from the actual population mean.
The relation between standard deviation and standard error is given by:
SEM = SD/√n
Where n is the number of observations.
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