# Can the standard deviation be greater than the mean?

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Absolutely it can.

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Standard deviation is a measure of how "spread out" a distribution (or a data set) is. The mean is just where that distribution (or data set) is centered.

As a simple analogy, if we find out that 95% of newborn babies weigh 7.75 pounds, give or take 2.25 pounds, the value 7.75 is like our mean, and the 2.25 pounds is like the standard deviation—in fact, in this case it is *twice* the standard deviation (because two standard deviations left-and-right of a mean will be 95% of a Normal distribution).

So, all we need to do is imagine a data set where the average value is low, but the "elbow-room" is high. Something like, the daily high temperature (in °C) in winter in the US. The mean will certainly be low (near 0°C), but because the US covers a lot of latitude, the standard deviation will be high—some cities will see relatively warm winters, while others will have quite cold ones.

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In a perfect normal distribution it can be.

In the ideal normal distribution ALL values are theoretically possible, from

And then any standard deviation

In the real world we work with datasets, that can often be well descibed by a normal distribution.

Say you have a filling machine for kilo-bags of sugar. The actual weight of the bags can be described as a normal distribution with a mean

In this case a

(a machine this unreliable would be unthinkable anyway!).

**Final answer:**

In theory: YES -- in practice: (almost) NEVER

**BTW** :

In a *standardised normal distribution* the mean

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