![]() The number of goals scored in a soccer match.Ĭonsider a generalized experiment rather than taking some particular experiment.The number of red balls drawn in a sample of 10 balls taken from a jar containing both red and blue balls.The number of accidents that occur at a given intersection in a week.The number of defective items in a shipment of goods.The number of cars that pass through a given intersection in an hour.These values are often represented by integers or whole numbers, other than this they can also be represented by other discrete values. ![]() In probability theory, a discrete random variable is a type of random variable that can take on a finite or countable number of distinct values. By the end of this article, you’ll have a solid understanding of discrete random variables and how to use them to make better decisions. In this article, we’ll delve into the fundamentals of discrete random variables, including their definition, probability mass function, expected value, and variance. Understanding discrete random variables is essential for making informed decisions in various fields, such as finance, engineering, and healthcare. Discrete Random Variables play a crucial role in modelling real-world phenomena, from the number of customers who visit a store each day to the number of defective items in a production line. Software Engineering Interview Questionsĭiscrete Random Variables are an essential concept in probability theory and statistics.Top 10 System Design Interview Questions and Answers. ![]()
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