The Standard Deviation Calculator is used to calculate the mean, variance, and standard deviation of a set of numbers.
Standard deviation is a widely used measurement of variability or diversity used in statistics and probability theory. It shows how precise your data is.
The standard deviation is the square root of its variance. A low standard deviation indicates that the data points tend to be very close to the mean, whereas high standard deviation indicates that the data are spread out over a large range of values.
Variance and standard deviation depend on the mean of a set of numbers. Calculating them depends on whether the set is a population or sample.
The population standard deviation is measures the variability of data in a population. It is usually an unknown constant. The variance σ2 and standard deviation σ of the population are given by:
σ = population standard deviation
σ2 = population variance
x1, ..., xN = the population data set
μ = mean of the population data set
N = size of the population data set
The sample standard deviation is an estimate, based on a sample, of a population standard deviation. The variance s2 and standard deviation s of the sample are given by:
s = sample standard deviation
s2 = sample variance
x1, ..., xN = the sample data set
x̄ = mean value of the sample data set
N = size of the sample data set
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