Regression Module Allows the user to investigate relationships between two variables. These finding can be used to predict one variable from the given values of other variables. We cover linear (Spearman`s, t-test, z-transform) and rank (Spearman`s, Kendall`s) correlation, linear regression and conditional means. Standard Probability Distributions Module This module assists in the development of applications that incorporate the Binomial, Poisson

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A set of mathematical tools, for scientists, engineers and students. Perform symbolic algebra: simplify expressions, differentiate them, integrate them and see how the result was obtained. Factorise polynomials, multiply and divide them, find their GCDs. Solve linear and non-linear equations, minimise an expression. Least squares fit (5 methods). Evaluate math expressions with variables. Complex numbers. Log results. 38 digit precision.

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regression programs is its ease of use. DataFit is driven by a well-designed graphical interface, so there are no complicated instructions to remember and no programs to write. Data entry is achieved through a standard spreadsheet interface, which supports ASCII and ODBC data source import, as well as cutting and pasting data from the clipboard. With DataFit, you can perform linear or nonlinear regression on data containing up to 20 independent variables

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The selection of components to generate two dimensional Cartesian plots with: unlimited number of axis (secondary axis) manifold options for scaling, grids, legends, automatic scaling, automatic zooming, unlimited number of series, manifold line and point styles, calculated Regression Lines, Interpolation, Differential and Integral, supporting components for editing and styles selection

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Linear and Circular Descriptive Statistics, Classification and Grouping Discriminant Analysis, Factor Analysis, Goodness of Fit Tests such as Binomial, Circular, Normal and Poisson, Simple and Multiple Linear Regression, Regression Comparison, Nonparametric Tests such as Friedman, Kruskal-Wallis and Mann-Whitney, Principal Component Analysis, Univariate and Multivariate t-Tests. statistiXL also produces a wide range of plots including Box and Whisker

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Mathaid interactive Probability and Statistics tutorial is a new java-based package for e-learning and home schooling. It guides the user through all steps of the learning process, from theoretical concepts, examples, problem-solving lessons, drills to customized tests. The emphasis is on interactivity and "living" formulas - the unique graphics and animations bring life to the formulas and make learning and exploring maths real fun.

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