In this lesson, you'll look at a way to represent discrete distributions - the probability mass function (PMF), which maps from each value to its probability. A probability mass function (PMF), ...

In this lesson, you'll look at a way to represent discrete distributions - the probability mass function (PMF), which maps from each value to its probability. A probability mass function (PMF), ...

To find the CDF of a discrete random variable, you need to know its probability mass function (PMF), which is a function that gives the probability of each possible value.

In this video, Daniel Organisciak verifies that the probability mass function of a the binomial distribution is indeed a probability mass function. Test Yourself. Test yourself: Numbas test on ...

Example 2 – Calculating Cumulative Probability for Continuous Data: Let’s assume that we have the exponential distribution with rate parameter λ = 0.5 and want to determine the cumulative probability ...

Unlike for probability mass functions, the probability density function cannot be interpreted directly as a probability. Instead, if we visualize the graph of a pdf as a surface, then we can compute ...

The number of de Bruijn sequences in a weight class of the order n generating functions is unknown for all but the smallest n. This method uses relationships between short cycles of progressively ...

To figure out this problem, in this study, we propose the adaptive median filter method combined with probability mass function. In this method, in order to limit the various amplitudes of impulse ...