A probability density function (PDF) describes the likelihood of different outcomes for a continuous random variable.

The Probability Density Function (PDF) Introduction So far, you learned about discrete random variables and how to calculate or visualize their distribution functions. In this lesson, you'll learn ...

Let's work through a brief example calculating the probability mass function for a discrete random variable! A probability is a number in the range [0,1] that is calculated as the frequency expressed ...

In this correspondence, we give a sufficient condition for the exponential decay of the tail probability of a nonnegative random variable. We consider the Laplace-Stieltjes transform of the ...

Example 3: A fair coin is tossed 3 times. Random variable S is the total number of heads in the three tosses. Given a random variable, X, and real number, x, p (x) = P [X=x] is the probability that X ...

Notice that the sum of all probabilities in this table is 1. Since f (x,y) is a probability distribution, it must sum to 1. Adding probabilities across the rows you get the probability distribution of ...

You can use the RAND () function to establish probability and create a random variable with normal distribution.