A.  Totes amazeballs automated Plotting

Let random variable X have pdf f(x):

B.  Elegant Piecewise Processing Engine

mathStatica 2.7’s piecewise processing engine provides beautiful support for piecewise functions, with clean and elegant solutions that are streets ahead of anything else available.

For example, here we compare mathStatica 2.7’s elegant output to Mathematica output (by itself), for exactly the same problem ... calculating a cdf:
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C.  Even more Distributions

mathStatica, of course, handles infinitely many distributions (univariate or multivariate). For ease and convenience, mathStatica 2.7 adds another 40 univariate distributions to the built-in palettes, offering simple easy one-click access.

 Continuous Discrete alpha-Laplace distribution (see Linnik distribution)A cute Linear distributionArc-Sine distributionasymmetric Laplace distributionAzzalini's skew-Normal distributionBates distributionBeta distributionBeta distribution of the second kind (see Inverted Beta distribution)Bi-weight distributionBirnbaum–Saunders distributionBox–Tiao distribution (see Subbotin distribution)Bradford distributionBurr Type III distributionBurr Type XII distributionCardioid distributionCauchy distributionChi distributionChi-squared distributionCosine distributionCosinus distributionDagum Type I distributionDouble Epanechnikov distributionDouble Exponential distribution (see Laplace distribution)Double Freud distribution (see Reflected Freud distribution)Double Gamma distribution (see Reflected Gamma distribution)Double Weibull distribution (see Reflected Weibull distribution)Epanechnikov distributionExponential distributionExtreme Value distributionFisher's F distributionfolded Normal distributionFréchet distributionFreud distributionGamma distributionGaussian distribution (see Normal distribution)Generalised Beta distributionGeneralised Normal distribution (see Subbotin distribution)Gumbel Type I distribution (see Extreme Value distribution)Hahn distributionhalf-Cauchy distributionhalf-Halo distributionhalf-Logistic distributionhalf-Normal distributionHyperbolic Secant distributionInverse Chi-squared distributionInverse Gamma distributionInverse Gaussian distributionInverse Triangular distributionInverted Beta distributionIrwin-Hall distributionJohnson family distributionsKumaraswamy distributionLaplace distributionLeipnik distributionLevy distributionLindley distributionLinnik distributionLogistic distributionLoglogistic distributionLognormal distributionLomax distributionMaxwell-Boltzmann distributionMoyal distributionnoncentral Chi-squared distributionnoncentral F distributionNormal distributionNormal two-component-mix distributionPareto distributionPareto II distribution (see Lomax)Pearson family distributionsPower Exponential distribution (see Subbotin distribution)Power Function distributionPower semi-circle distributionQuartic distribution (see Bi-weight distribution)Random Walk distributionRayleigh distributionRectangular distribution (see Uniform distribution)Reflected Freud distributionReflected Gamma distributionReflected Weibull distributionRice distributionscaled Beta distributionsemi-circle distributionshifted Exponential distributionSinc2 distributionSine2 distributionskew-Normal distributionskew-V distributionstable distributionStacy distributionSTSP (Standard Two-Sided Power) distributionStudent's t distributionSubbotin distributionTopp-Leone distributionTrapezoidal distribution Tri-cubic distributionTri-weight distributionTriangular distributionTruncated Normal distributionU-quadratic distribution Uniform distributionV distributionWald distribution (see Inverse Gaussian)Weibull distributionZ distribution Banach distributionBernoulli distributionBeta-Binomial distributionBeta-Geometric distributionBinomial distributiondifference of 2 Geometric distributionDiGamma distributiondiscrete Pareto distribution (see Riemann Zeta distribution)Dubey distributionEstoup distributionFibonacci distributionFlory distributionGeometric distributionGeometric[0, ∞] distributionGross-Miller Geometric distributionHaight's Zeta distributionHolla distributionHunter Geometric distributionHypergeometric distributionInverse Binomial distributionJackson-Nickols distributionKelly distributionKupper distributionLehmann distributionLogarithmic distributionLotka distributionMiller distributionMoran-Gani distributionNaor-Poisson distributionNegative Binomial distributionOrd-Geometric distribution (see Two-sided Geometric)Pascal distributionPoisson distributionPoisson two-component-mix distributionPoisson-Lindley distributionPolya-Aeppli distributionPrasad distributionRademacher distributionRectangular distribution (see Uniform distribution)Riemann Zeta distributionSchwarz-Tversky (Type 1) distributionSchwarz-Tversky (Type 3) distributionSchwarz-Tversky (Type 4) distributionSimon distributionSrinivasan distribution Takacs distributionTambouratzis distributionTriangular distributionTriangular of order λ distributionTriGamma distributionTwo-sided Geometric distributionUniform[0,n] distribution (discrete)Uniform[a,b] distribution (discrete)Waiting-time Negative Binomial distribution Waring distributionYanagimoto distribution (see Inverse Binomial)Yule distributionZero-Inflated Poisson distribution (ZIP)Zeta distribution (see Riemann Zeta)Zipf distributionZipf-Mandelbrot distribution

The distribution palettes have also been significantly updated and re-organised, and are now sorted both alphabetically and by domain of support, with appropriate forms for each distribution already set-up for each domain of support, for maximum ease of use.

D.   Parallel Processing Engine

mathStatica 2.7’s parallel processing engine unleashes the power of your computer — automatically — featuring phenomenal speed and power for users with multi-processor machines ...

Timings in seconds using Mathematica 11
running on Mac Pro computer

E.  Help System ... decidedly uber

F.   Major New Functions in 2.x
 RandomNumber – random number generation for essentially any discrete or continuous univariate distribution Maximum Minimum – pdf of max(X, Y, Z, ...)   [ Show me ] TransformProduct – pdf of X * Y   [ Show me ] OrderStatNonIdentical – pdf of order statistics sampling from non-identical parent distributions   [ Show me ] JohnsonSU JohnsonSL – automated fitting for the Johnson SU and SL family Non-rectangular domains – greatly enhanced support Multivariate discrete – seamlessly extended to core functions Unbiased estimators – now all multivariate ... The entire suite of unbiased estimator functions now support arbitrary multivariate worlds. Moments of moments – now all multivariate ... The entire suite of moments of moments functions are now multivariate. e.g. Find the covariance between, say:     and   [ Show me ]

G.   Palettes in 2.7
mathStatica supports infinitely many distributions.

In fact, there are so many new distributions in mathStatica 2.7, there isn’t enough space to fit them all on screen. The new continuous and discrete palettes now have a scrolling design that allows us to add unlimited numbers of distributions, and to display them both alphabetically and sorted by domain of support.

H.   Easy to use
 – Simply press the 'Start' button ...Incredibly easy!
I.   Rose and Smith (latest edition)
 Latest book edition! Takes full advantage of the front-end interface: real-time interactive animations dynamic links compatible with Mma 13 single-click to open any section all seamlessly integrated now available with all solutions Up-to-date electronic Mathematica text! Single download includes everything!