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normal distribution
(redirected from Gaussian Distributions)

   Also found in: Dictionary/thesaurus, Medical, Financial, Wikipedia, Hutchinson 0.01 sec.

normal distribution

In statistics, a frequency distribution in the shape of the classic bell curve. It accurately represents most variations in such attributes as height and weight. Any random variable with a normal distribution has a mean (see mean, median, and mode) and a standard deviation that indicates how much the data as a whole deviate from the mean. The standard deviation is smaller for data clustered closely around the mean value and larger for more dispersed data sets.


normal distribution [′nȯr·məl ‚di·strə′byü·shən]
(statistics)
A commonly occurring probability distribution that has the formwhereeis the mean and σ is the variance. Also known as Gauss' error curve; Gaussian distribution.

(statistics)normal distribution - (Or "Gaussian distribution") The frequency distribution of many natural phenomena such as the height or intelligence of people of a certain age and sex. The formula looks something like:

P(x) = e^(((x-m)/s)^2)

where P(x) is the probability of a measurement x, m is the mean value of x and s is the standard deviation.

Also known as a "bell curve" because of its shape.


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? Mentioned in ? References in periodicals archive
 
In addition, we assume that both the spatial and the unstructured variability have Gaussian distributions, which are independent in the latter case.
Therefore, we performed log transformation of those measurements to obtain symmetrical, approximately Gaussian distributions and used the log-transformed data in all analyses.
The probability distribution is found for the link distance between two randomly positioned mobile radios in a wireless network for two representative deployment scenarios: (1) the mobile locations are uniformly distributed over a rectangular area and (2) the x and y coordinates of the mobile locations have Gaussian distributions.
 
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