Determine which of the following represent valid probability mass functions.

Complete the table below to find the probability mass function for X. For each function below, decide whether or not it represents a probability distribution. In the case that any one of these …

Specifically, we can compute the probability that a discrete random variable equals a specific value (probability mass function) and the probability that a random variable is less than or …

This book contains more than 1000 exercises in probability and random processes, together with their solutions.

Using the same probability mass function p(x) that you were given in Problem 1 (replace the value for c that you calculated), what is the cumulative distribution function (cdf) of discrete random …

probability mass function (PMF): A function that represents a distribution by mapping each quantity to its probability. 3.7. Exercises# For the exercises in this chapter, we’ll use the NSFG …

What is the probability mass function (pmf) of a random variable? Can you make an example of a discrete random variable? What are the main differences between discrete and continuous …

Find the probability mass function describing the distribution of X. Solution: Our random variable X can take on 4 possible values. From our removal of the three balls, we can end up with 0 red …

Every random variable has an associated probability distribution function. This function is called a probability mass function in the case of a discrete random variable or probability density …

Find openly licensed curated exercises on probability theory, statistical inference, probability density and cumulative distribution functions.