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Probability Distributions

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Probability Distribution definition:

   Probability is used to find number of occurrence of an event out of possible outcomes.

Example:

   Consider a coin is tossed, we will get either head or tail as expected result and we can find the probability of getting head(or tail).

Types of probability distribution:

 There are two types of probability distribution,

    1) Discrete probability distribution
    2) Continuous probability distribution

Discrete probability distribution:

   Discrete probability distribution is used to calculate probability for a countable number of occurrence of an event.

Example

   Consider a coin is tossed, we will get 1 occurrence(either head or tail) out of 2 possible outcomes.

Types of discrete probability distribution:

 There are two types of discrete probability distribution,

    1) Finite discrete distribution
    2) Infinite discrete distribution

Finite discrete distribution:

   Finite discrete distribution is used to calculate probability for a countable number of values.

Example:

   Consider a die is rolled, there is a chance of 6 possible outcomes and total number of outcome is a finite number 6.

Infinite discrete distribution:
   Infinite discrete distribution is used to calculate probability for infinite number of values.

Example:

   Consider two dice are rolled together until we get six in both the dice and this type of infinite number of occurrences is said to be infinite discrete distribution.

Continuous probability distribution:

   Continuous probability distribution is an infinite probability distribution used to find probability for a continuous range of values.

Example:

   Consider students mark in a class, we want to calculate the probability of students those who got above 35% and below 80%. Here, we are finding probability with some range of values and this process will continue for each student in the class.



This tutorial will guide you to know about the Probability distributions, discrete probability distribution and continuous probability distribution.