Mathematical and statistical software refers to tools designed for performing computations, data analysis, and visualizations. These programs support symbolic math, numerical modeling, and statistical analysis, aiding fields like engineering, data science, finance, and academia. Popular examples include MATLAB, R, Mathematica, and SPSS, alongside open-source options like Python and Octave. They streamline tasks like simulations, hypothesis testing, and predictive analytics.