Normal Distribution

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Normal Distribution

The well known bell shaped curve. According to the Central Limit Theorem, the probability density function of a large number of independent, identically distributed random numbers will approach the normal distribution. In the fractal family of distributions, the normal distribution only exists when alpha equals 2, or the Hurst exponent equals 0.50. Thus, the normal distribution is a special case which in time series analysis is quite rare. See: Alpha, Central Limit Theorem, Fractal Distribution.

Bell Curve

A curve on a chart in which most data points cluster around the median and become less frequent the farther they fall to either side of the median. When plotted on a chart, a bell curve looks roughly like a bell.
References in periodicals archive ?
The normal distribution curve continues to infinity, and therefore exists outside the [+ or -]25 [micro]m limits.
This article proposes the use of a normal distribution curve derived from calculated statistical parameters--mean and standard deviation--and increase in the intensity of shading/color from lower to higher ends along the abscissa.
Also, for larger sheaths (N1c, N1d ) numerous cases were well described using one normal distribution curve for the size distribution in samples collected at temperatures close to 0[degrees]C (e.