## Standard deviation |

in

, thestatistics **standard deviation**is a measure of the amount of variation or of a set of values.dispersion ^{[1]}a low standard deviation indicates that the values tend to be close to the (also called the expected value) of the set, while a high standard deviation indicates that the values are spread out over a wider range.mean standard deviation may be abbreviated

**sd**, and is most commonly represented in mathematical texts and equations by the lower case greek letter sigma, for the population standard deviation, or the latin letterσ , for the sample standard deviation. (for other uses of the symbol σ in science and mathematics sees .)the main article the standard deviation of a

,random variable ,statistical population , ordata set is theprobability distribution of itssquare root . it isvariance simpler, though in practice lessalgebraically , than therobust .average absolute deviation ^{[2]}^{[3]}a useful property of the standard deviation is that, unlike the variance, it is expressed in the same units as the data.in addition to expressing the variability of a population, the standard deviation is commonly used to measure confidence in statistical conclusions. for example, the

inmargin of error data is determined by calculating the expected standard deviation in the results if the same poll were to be conducted multiple times. this derivation of a standard deviation is often called the "polling " of the estimate or "standard error of the mean" when referring to a mean. it is computed as the standard deviation of all the means that would be computed from that population if an infinite number of samples were drawn and a mean for each sample were computed.standard error the standard deviation of a population and the standard error of a statistic derived from that population (such as the mean) are quite different but related (related by the inverse of the square root of the number of observations). the reported margin of error of a poll is computed from the standard error of the mean (or alternatively from the product of the standard deviation of the population and the inverse of the square root of the sample size, which is the same thing) and is typically about twice the standard deviation—the half-width of a 95 percent

.confidence interval in science, many researchers report the standard deviation of experimental data, and by convention, only effects more than two standard deviations away from a null expectation are considered

—normal random error or variation in the measurements is in this way distinguished from likely genuine effects or associations. the standard deviation is also important in finance, where the standard deviation on thestatistically significant on an investment is a measure of therate of return of the investment.volatility when only a

of data from a population is available, the termsample *standard deviation of the sample*or*sample standard deviation*can refer to either the above-mentioned quantity as applied to those data, or to a modified quantity that is an unbiased estimate of the*population standard deviation*(the standard deviation of the entire population).- basic examples
- definition of population values
- estimation
- identities and mathematical properties
- interpretation and application
- relationship between standard deviation and mean
- rapid calculation methods
- history
- see also
- references
- external links

In **standard deviation** is a measure of the amount of variation or ^{[1]} A low standard deviation indicates that the values tend to be close to the

Standard deviation may be abbreviated **SD**, and is most commonly represented in mathematical texts and equations by the lower case Greek letter sigma ** σ**, for the population standard deviation, or the Latin letter

The standard deviation of a ^{[2]}^{[3]}
A useful property of the standard deviation is that, unlike the variance, it is expressed in the same units as the data.

In addition to expressing the variability of a population, the standard deviation is commonly used to measure confidence in statistical conclusions. For example, the

The standard deviation of a population and the standard error of a statistic derived from that population (such as the mean) are quite different but related (related by the inverse of the square root of the number of observations). The reported margin of error of a poll is computed from the standard error of the mean (or alternatively from the product of the standard deviation of the population and the inverse of the square root of the sample size, which is the same thing) and is typically about twice the standard deviation—the half-width of a 95 percent

In science, many researchers report the standard deviation of experimental data, and by convention, only effects more than two standard deviations away from a null expectation are considered

When only a *standard deviation of the sample* or *sample standard deviation* can refer to either the above-mentioned quantity as applied to those data, or to a modified quantity that is an unbiased estimate of the *population standard deviation* (the standard deviation of the entire population).