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The variance for each data point is calculated by subtracting the mean from the value of the data point. Dividing by n − 1 {\textstyle n-1} rather than by n {\textstyle n} gives an unbiased estimate of the variance of the larger parent population. For example, in our sample of test scores (10, 8, 10, 8, 8, and 4) the mean or mathematical average was 8. Variance is derived by taking the mean of the data points, subtracting the mean from each data point individually, squaring each of these results, and then taking another mean of these squares.
Standard Deviation by Katherine Heiny | Goodreads
Example: Comparing different standard deviationsYou collect data on job satisfaction ratings from three groups of employees using simple random sampling.NoteFor non-normal distributions, the standard deviation is a less reliable measure of variability and should be used in combination with other measures like the range or interquartile range. out of 6 (83%) of our sample of test scores (10, 8, 10, 8, 8, and 4) is within one standard deviation (2. I’d probably find her exhausting and need to take regular breaks from her if I knew her in real life but there’s a real generosity of spirit and kindness behind her actions which makes me want to emulate her approach to life.
Standard Deviation by Katherine Heiny | Waterstones
A useful property of the standard deviation is that, unlike the variance, it is expressed in the same unit as the data.Roughly, the reason for it is that the formula for the sample variance relies on computing differences of observations from the sample mean, and the sample mean itself was constructed to be as close as possible to the observations, so just dividing by n would underestimate the variability.