Standard error measures variability of sample mean from population mean. Calculated as standard deviation divided by square root of sample size. Smaller standard error indicates more reliable sample estimates
Both measure variability of figures using mean of a data set. Standard deviation is square root of variance. Variance is average of squared differences from mean
Standard deviation measures data dispersion from mean. Calculated as square root of variance. Formula involves finding mean, variance, squaring, summing, and taking square root
Determine the number of numbers in your sample. Identify the type of data being analyzed. Ensure all numbers are needed for the mean calculation
Calculator works for all ages from newborn to elderly. Includes country selection for adult age range only. Allows manual country-specific height entry. Uses standard deviation to determine height percentiles
RMS is the square root of the mean square of a set of numbers. Also known as quadratic mean, a special case of generalized mean. Can be defined for continuous functions using integral of squared function