The standard deviation (SD) measures the amount of variability, or dispersion, for a subject set of data from the mean.
The standard error of the mean (SEM) measures how far the sample mean of the data is likely to be from the true population mean. Formula to find standard error= sd/"\\sqrt{n }" where n is the sample size.The SEM is always smaller than the SD
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