Probability denotes possibility. To be able to find the probability of a single event to occur, we need to know the total number of possible outcomes first.
Millions of flashcards designed to help you ace your studies
Sign up for free
Achieve better grades quicker with Premium
Geld-zurück-Garantie, wenn du durch die Prüfung fällst
Review generated flashcards
Start learning or create your own AI flashcards
Team Probability Calculations Teachers
Sign up for free to gain access to all our flashcards.
How do you calculate probability?
How to calculate probability: divide the number of events by the number of possible outcomes. This will give us the probability of a single event occurring.
How do you calculate probability using Venn diagrams?
How to calculate probability using Venn diagrams: List and group all possible events using set notation. After the listing is done, we use algebra or simple calculations to find the ratios or probabilities.
What is the formula of probability?
Probability = Number of favourable outcomes/ Total number of outcomes
How do you find the probability of two events?
How to find the probability of two events: just multiply the probability of the first event by the second. For example, if the probability of event A is 2/9 and the probability of event B is 3/9 then the probability of both events happening at the same time is (2/9)*(3/9) = 6/81 = 2/27.
At StudySmarter, we have created a learning platform that serves millions of students. Meet the people who work hard to deliver fact based content as well as making sure it is verified.
Lily Hulatt is a Digital Content Specialist with over three years of experience in content strategy and curriculum design. She gained her PhD in English Literature from Durham University in 2022, taught in Durham University’s English Studies Department, and has contributed to a number of publications. Lily specialises in English Literature, English Language, History, and Philosophy.
Get to know Lily
Gabriel Freitas is an AI Engineer with a solid experience in software development, machine learning algorithms, and generative AI, including large language models’ (LLMs) applications. Graduated in Electrical Engineering at the University of São Paulo, he is currently pursuing an MSc in Computer Engineering at the University of Campinas, specializing in machine learning topics. Gabriel has a strong background in software engineering and has worked on projects involving computer vision, embedded AI, and LLM applications.
Get to know Gabriel