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Table of Contents

  • statistics — Mathematical statistics functions
    • Averages and measures of central location
    • Measures of spread
    • Statistics for relations between two inputs
    • Function details
    • Exceptions
    • NormalDist objects
    • Examples and Recipes
      • Classic probability problems
      • Monte Carlo inputs for simulations
      • Approximating binomial distributions
      • Naive bayesian classifier

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random — Generate pseudo-random numbers

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Functional Programming Modules