Genius Maker contains 34 educational softwares covering the subjects Mathematics, Physics and Chemistry for High school students. It includes Graph plotter, Analytical geometry, Matrix algebra, Equation solver, Triangle solver, Unit converter, Refraction of rays, Lens and mirrors, Color theory, Transverse waves, Radioactive decay, Periodic table, Gas Laws etc. Out of the 34 softwares, 9 softwares are Free and the remaining are for Trial.
The software Assistat makes variance analysis (ANOVA) and it classifies the averages for the Tukey Test, t Test, Duncan Test, Dunnet Test, Scott-Knott Test and SNK Test. It counts with regression in the variance analysis, correlation between variables, test of the coefficient of correlation, Cochran Test, Bartlett Test, Mann-Whitney Test, Kruskal-Wallis Test, normality tests (Kolmogorov-Smirnov, Shapiro-Wilk, Anderson-Darling, Cramer-von Mises and other) and test of series fit (for Kolmogorov-Smirnov method). It makes Principal Components Analysis (PCA), confounding in the Factorial Experiments 2×2x2, Polinomial Regression for the case of quantitative treatments in Factorial Experiments, Subdivided Parcels and Subsubdivided Parcels. It analyzes Factorial Experiments with additional treatments.
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Genius Maker contains 34 educational softwares covering the subjects Mathematics, Physics and Chemistry for High school students. It includes Graph plotter, Analytical geometry, Matrix algebra, Equation solver, Triangle solver, Unit converter, Refraction of rays, Lens and mirrors, Color theory, Transverse waves, Radioactive decay, Periodic table, Gas Laws etc. Out of the 34 softwares, 9 softwares are Free and the remaining are for Trial.
The software Assistat makes variance analysis (ANOVA) and it classifies the averages for the Tukey Test, t Test, Duncan Test, Dunnet Test, Scott-Knott Test and SNK Test. It counts with regression in the variance analysis, correlation between variables, test of the coefficient of correlation, Cochran Test, Bartlett Test, Mann-Whitney Test, Kruskal-Wallis Test, normality tests (Kolmogorov-Smirnov, Shapiro-Wilk, Anderson-Darling, Cramer-von Mises and other) and test of series fit (for Kolmogorov-Smirnov method). It makes Principal Components Analysis (PCA), confounding in the Factorial Experiments 2×2x2, Polinomial Regression for the case of quantitative treatments in Factorial Experiments, Subdivided Parcels and Subsubdivided Parcels. It analyzes Factorial Experiments with additional treatments.
