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Single Event Probability Tutorial



Single Event Probability
Probability definition:

   Probability is used to find the number of occurrence of an event out of possible outcomes. Probability should always lies between 0 and 1.

Single Event probability definition:

   Single-event probability is used to find the probability for a single event that occurs for an experiment. For example, consider tossing a coin, we will get single event (either head or tail) as expected result.

Formula:

   Probability that event A occurs P(A) = n(A) / n(S).
   where,
   n(A) - number of event occurs
   n(S) - number of possible outcomes

   Probability that event A does not occur P(A') = 1 - P(A).
   where,
   P(A) is the probability of single event A.

Example:

  Consider a die is rolled, there is a chance of six different outcomes as 1,2,3,4,5 and 6. Calculate the probability of getting even numbers?

  where,

   n(A) = 3, total number of even numbers occured is 3.

   n(S) = 6, total number of outcomes is 6.

   Probability that event A occurs = P(A) = n(A) / n(S) = 3 / 6 = 0.5.

   Probability that event A does not occur = P(A') = 1 - P(A) = 1 - 0.5 = 0.5.


This tutorial will guide you to calculate the basic probability distribution for a single event.




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