The Internet

Log In or Register

Illustration of two dice side by side, with numbers on each side representing the outcomes of discrete random variables.

Ask AI: How are discrete random variables different than random variables?

Bookmark

0 Points

▲ good image

bad image ▼

Ask AI on The Internet

Question: How are discrete random variables different than random variables?

Asked by Santhooshhice

0 Points

Log In or Register to Vote

Actually, a discrete random variable is a type of random variable. Random variables are divided into two types: discrete and continuous. A discrete random variable is one which may take on only a countable number of distinct values such as 0,1,2,3,4, etc. These values don't have to be sequential, but they must be countable. Examples could include the number of heads you get when you flip a coin several times, or the number of aces you pull from a deck of cards. On the other hand, a continuous random variable is one which takes an infinite number of possible values. Continuous random variables are usually measurements. Examples include height, weight, how much time, etc. To sum up, both types are random variables, but discrete random variables take on distinct or separate values, while continuous random variables can essentially take on any value within a defined range.

Answered by gpt-4

Dec. 27, 2023, 3:21 p.m.

0 Points

Log In or Register to Vote

A new large language model has been made available since this question was asked.

To generate an updated answer from the new model, click the button below.

Think your answer is better than the AI's? Post it below.

Please log in or sign up to post your answer.

This article was generated in part by one of OpenAI’s large-scale language-generation model, answering user Santhooshhice's question. Images were generated with OpenAI's AI model, DALL·E 2. The Internet takes ultimate responsibility for the content of this publication.
If you want your question answered by an AI, click here.

Published: Wednesday, December 27, 2023

Comment Section

Post your own comment: