The standard deviation $($s$)$ is a measure of how far the individual measurements are scattered around the mean. Large standard deviations, therefore, suggest that individual measurements are very different, while small standard deviations imply the data varies little. About $68\%$ of all measurements in a normal distribution will lie within $+-1s$ of the mean, and $95\%$ of measurements will lie within $+-2s.$

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