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## Probability FunctionThe probability function is denoted as
## Cumulative Probability FunctionThe cumulative probability function of a random variable (discrete or continuous) is a function whose domain is similar to that of the probability mass or density function, but whose range is the set of probabilities associated with the possibility that the random variable will assume a value that is less than or equal to the values in the domain. The cumulative probability function of a random variable X is denoted byF and is defined as _{X}(x)F
_{X}(x) = P (X ≤ x) Every probability distribution has a respective cumulative probability distribution.
The cumulative probability distribution of a random variable relating to the experiment of tossing 3 coins where getting a head is termed a success and "
F represents the cumulative probability function relating to this probability distribution
_{X}(x) = P(X=x)Where "x =0", F(0) = P(X = 0); "x = 1" F(1) = P(X ≤ 1) ⇒ F(2) = P(X = 0) + P(X = 1) "x = 2" F(2) = P(X ≤ 2) ⇒ F(2) = P(X = 0) + P(X = 1) + P(X = 2) "x = 3" F(2) = P(X ≤ 2) ⇒ F(2) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) |

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