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, click here

import probstat

probstat.probability(1,5)
>>> 0.2

probstat.bernoulli_simple(0.7, 17, 11)
>>> 0.18

probstat.expected_value([0, 1, 2, 4], [0.2, 0.3, 0.4, 0.1])
>>> 1.5

probstat.variance([0, 1, 2, 4], [0.2, 0.3, 0.4, 0.1])
>>> 1.25

probstat.standard_deviation([0, 1, 2, 4], [0.2, 0.3, 0.4, 0.1])
>>> 1.12

• Anfisa Lepekhina | [email protected]
• Maxim Skibin | [email protected]