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Course Content


There are two types of probability distributions, each of which is utilised for different objectives and data creation processes.

  • The probability distribution is either normal or cumulative.
  • The probability distribution is either binomial or discrete.

A probability distribution for a given random variable is a function or table of values that translates the sample space's outcomes to their probabilities. For instance, in a coin tossing experiment, the sample space is.  {HH, HT, TH, TT}.

The probability of an event is calculated using the following formula: P(A) = n(A)/n(S)

Chance distributions aid in the modelling of our environment by allowing us to estimate the probability of a specific event occurring or the variability of its occurrence. They're a frequent approach to express and possibly predict an event's likelihood.

Statisticians divide probability distributions into the following types: Discrete Probability Distributions. Continuous Probability Distributions.

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