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Arrowheads   (Built-in Mathematica Symbol)
Arrowheads[spec] is a graphics directive specifying that arrows that follow should have arrowheads with sizes, positions, and forms specified by spec.
Arrow   (Built-in Mathematica Symbol)
Arrow[{pt_1, pt_2}] is a graphics primitive that represents an arrow from pt_1 to pt_2.Arrow[{pt_1, pt_2}, s] represents an arrow with its ends set back from pt_1 and pt_2 by ...
BattleLemarieWavelet   (Built-in Mathematica Symbol)
BattleLemarieWavelet[] represents the Battle-Lemarié wavelet of order 3.BattleLemarieWavelet[n] represents the Battle-Lemarié wavelet of order n evaluated on equally spaced ...
BeckmannDistribution   (Built-in Mathematica Symbol)
BeckmannDistribution[\[Mu]_1, \[Mu]_2, \[Sigma]_1, \[Sigma]_2] represents the Beckmann distribution with means \[Mu]_1 and \[Mu]_2 and standard deviations \[Sigma]_1 and ...
BeniniDistribution   (Built-in Mathematica Symbol)
BeniniDistribution[\[Alpha], \[Beta], \[Sigma]] represents a Benini distribution with shape parameters \[Alpha] and \[Beta] and scale parameter \[Sigma].
BetaBinomialDistribution   (Built-in Mathematica Symbol)
BetaBinomialDistribution[\[Alpha], \[Beta], n] represents a beta binomial mixture distribution with beta distribution parameters \[Alpha] and \[Beta], and n binomial trials.
BetaDistribution   (Built-in Mathematica Symbol)
BetaDistribution[\[Alpha], \[Beta]] represents a continuous beta distribution with shape parameters \[Alpha] and \[Beta].
BezierCurve   (Built-in Mathematica Symbol)
BezierCurve[{pt_1, pt_2, ...}] is a graphics primitive that represents a Bézier curve with control points pt_i.
BirnbaumSaundersDistribution   (Built-in Mathematica Symbol)
BirnbaumSaundersDistribution[\[Alpha], \[Lambda]] represents the Birnbaum\[Dash]Saunders distribution with shape parameter \[Alpha] and scale parameter \[Lambda].
BrownForsytheTest   (Built-in Mathematica Symbol)
BrownForsytheTest[data] tests whether the variance of data is 1. BrownForsytheTest[{data_1, data_2}] tests whether the variances of data_1 and data_2 are ...
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