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Standard Deviation

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Example: five people take 4, 6, 7, 8 and 10 minutes to get to work. How much do these times vary around the mean? Change the values to work out your own case.

Step by step

    What each term means

    Sample Standard Deviation (s)
    Measures how far the values spread around the mean, in the same units as the data: the larger it is, the more scattered they are. It is the square root of the variance s².
    Summation (Σ)
    Adds the next term for each of the n values, from i = 1 to i = n.
    Squared Deviation ((xᵢ − x̄)²)
    The distance from each value to the mean x̄, squared. Squaring makes every deviation positive — without it, the deviations would cancel out and always add up to zero — and gives more weight to distant values.
    Degrees of Freedom (n − 1)
    The number of values minus one. Since x̄ was computed from the data themselves, only n − 1 deviations are free: the last one is set by the others. Dividing by n − 1 rather than n corrects the sample's tendency to understate the spread (Bessel's correction).