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ProbStat package is the main helper for students in Probability & Statistics.ProbStat methods allow users to deal with complicated tasks and calculations in statistics and probability theory.

Here are just a few of the things that ProbStat does well:

• find all types of probability:

  • Classic probability
  • Geometric probability
  • Conditional probability

• find probability by means of:

  • Law of total probability
  • Bayes' theorem
  • Bernoulli scheme
  • De Moivre–Laplace theorem

• calculate statistics values:

  • Expected value
  • Variance
  • Standard deviation

• check whether events are:

  • Independent
  • Disjoint

The source code is currently hosted on GitHub, clickhere

import probstatprobstat.probability(1,5)>>> 0.2probstat.bernoulli_simple(0.7, 17, 11)>>> 0.18probstat.expected_value([0, 1, 2, 4], [0.2, 0.3, 0.4, 0.1])>>> 1.5probstat.variance([0, 1, 2, 4], [0.2, 0.3, 0.4, 0.1])>>> 1.25probstat.standard_deviation([0, 1, 2, 4], [0.2, 0.3, 0.4, 0.1])>>> 1.12

• Anfisa Lepekhina |anfisa_lepekhina5@mail.ru
• Maxim Skibin |skibin-mvp@mail.ru