QUICK BITES
Resources & Insights

Random variables are an important concept in probability theory and statistics. A random variable is a variable whose value is determined by the outcome of a random event. In other words, its value is not known beforehand but depends on the outcome of some underlying probability distribution. There are two types of random variables: discrete and continuous. Discrete random variables take on a finite or countably infinite set of values, while continuous random variables can take on any value within a specified range. The probability distribution of a random variable describes the likelihood of each possible value occurring. For a discrete random variable, the probability distribution is given by a probability mass function (PMF), while for a continuous random variable, […] READ MORE...