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**distribution** (dis-tri-byu´shun)

1.The passage of the branches of arteries or nerves to the tissues and organs.2.The area in which the branches of an artery or a nerve terminate, or the area supplied by such an artery or nerve.3.The relative numbers of individuals in each of various categories or populations such as in different age, sex, or occupational samples. See frequencyd. [L.dis-tribuo,pp. -tributus,to distribute, fr.tribus,a tribe]Bernoullithe probabilityd.d.associated with two mutually exclusive and exhaustive outcomes, e.g., death or survival.binomiald.1.a probabilityd.associated with two mutually exclusive outcomes, e.g., presence or absence of a clinical sign.2.the possible array of the number of successes in the outcomes from a fixed number,n, of independent Bernoulli trials; the probabilities associated with each constitute a binomial process of ordern.chi-square(kI) a variable is said to have a chi-squared.d.withKdegrees of freedom if it is distributed like the sum of the squares ofKindependent random variables, each of which has a normal (gaussian)d.with mean zero and variance one. The chi squared.is the basis for many variations of the chi-square(d) test, perhaps the most widely used test for statistical significance in biology and medicine.countercurrenta method of separation of two or more substances by repeated distribution between two immiscible liquid phases that move past each other in opposite directions; a form of liquid-liquid chromatography.d.dermatomald.dermatome (3)epidemiologicalSee histogram.d.exponentialthe time until failure of a process at constant hazard.d.fthed.d.of the ratio of two independent quantities each of which is distributed like a variance in normally distributed samples. So named in honor of the English statistician and geneticist R.A. Fisher.frequencya statistical description of raw data in terms of the number or frequency of items characterized by each of a series or range of values of a continuous variable.d.gaussiand.normaldlognormalif a variable y is such that x = log y, it is said to have a lognormald.d.;this is a skewd.multinomialprobability distribution associated with the classification of each of a sample of individuals into one of several mutually exclusive and exhaustive categories.d.normala specific bell-shaped frequencyd.d.commonly assumed by statisticians to represent the infinite population of measurements from which a sample has been drawn; characterized by two parameters, the mean (x) and the standard deviation (sigma), in the equation:gaussiancurve, gaussiand;Poissond.1.a discontinuousd.important in statistical work and defined by the equationp(x) =e^{-mu}mu^{x}/x!, whereeis the base of natural logarithms,xis the sequence of integers, mu is the mean, andx! represents the factorial ofx.2.ad.function used to describe the occurrence of rare events, or the samplingd.of isolated counts in a continuum of time or space.skewan asymmetrical frequencyd.d.;in biology and medicine it is usually a lognormald.thetd.d.of the quotient of independent random variables, the numerator of which is a standardized normal variate and the denominator the positive square root of the quotient of a chi-square distributed variate and its number of degrees of freedom.

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