Experiment (probability theory)

Outcome (probability)

In probability theory, an outcome is a possible result of an experiment or trial. Each possible outcome of a particular experiment is unique, and different outcomes are mutually exclusive (only one outcome will occur on each trial of the experiment). All of the possible outcomes of an experiment form the elements of a sample space. For the experiment where we flip a coin twice, the four possible outcomes that make up our sample space are (H, T), (T, H), (T, T) and (H, H), where "H" represents a "heads", and "T" represents a "tails". Outcomes should not be confused with events, which are sets (or informally, "groups") of outcomes. For comparison, we could define an event to occur when "at least one 'heads'" is flipped in the experiment - that is, when the outcome contains at least one 'heads'. This event would contain all outcomes in the sample space except the element (T, T). (Wikipedia).

Outcome (probability)
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Find Probability from Odds

This video explains how to determine the probability of an outcome given the odds of an outcome. http://mathispower4u.com

From playlist Probability

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Ex: Determine Probability Given Odds

This video explains how to determine probability given odds.

From playlist Probability

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Introduction to Probability

This video introduces probability and determine the probability of basic events. http://mathispower4u.yolasite.com/

From playlist Counting and Probability

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How to find the probability of consecutive events

👉 Learn how to find the conditional probability of an event. Probability is the chance of an event occurring or not occurring. The probability of an event is given by the number of outcomes divided by the total possible outcomes. Conditional probability is the chance of an event occurring

From playlist Probability

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Learn to find the or probability from a tree diagram

👉 Learn how to find the conditional probability of an event. Probability is the chance of an event occurring or not occurring. The probability of an event is given by the number of outcomes divided by the total possible outcomes. Conditional probability is the chance of an event occurring

From playlist Probability

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Probability - Quantum and Classical

The Law of Large Numbers and the Central Limit Theorem. Probability explained with easy to understand 3D animations. Correction: Statement at 13:00 should say "very close" to 50%.

From playlist Physics

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Probability of an Impossible Event

What is the probability of an impossible event? Why the probability is zero. Calculating simple events and why zero probability does not alway equal "impossible".

From playlist Probability

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Using a contingency table to find the conditional probability

👉 Learn how to find the conditional probability of an event. Probability is the chance of an event occurring or not occurring. The probability of an event is given by the number of outcomes divided by the total possible outcomes. Conditional probability is the chance of an event occurring

From playlist Probability

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Determining the conditional probability from a contingency table

👉 Learn how to find the conditional probability of an event. Probability is the chance of an event occurring or not occurring. The probability of an event is given by the number of outcomes divided by the total possible outcomes. Conditional probability is the chance of an event occurring

From playlist Probability

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Probabilities involving Equally Likely Outcomes | Probability Theory

How do we assess probabilities of events in sample spaces that have equal outcomes? Like tossing a coin or a die? We'll be going over some of these basic probability concepts in today's probability theory lesson! We'll also touch on an example of the inclusion exclusion principle for proba

From playlist Probability Theory

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1. Probability Models and Axioms

MIT 6.041 Probabilistic Systems Analysis and Applied Probability, Fall 2010 View the complete course: http://ocw.mit.edu/6-041F10 Instructor: John Tsitsiklis License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT 6.041SC Probabilistic Systems Analysis and Applied Probability, Fall 2013

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Introduction to Probability, Basic Overview - Sample Space, & Tree Diagrams

This video provides an introduction to probability. It explains how to calculate the probability of an event occuring. It also discusses how to determine the sample space of an event using tree diagrams. My E-Book: https://amzn.to/3B9c08z Video Playlists: https://www.video-tutor.net H

From playlist Statistics

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Probability in Business Statistics (Week 8)

In a world full of randomness, probability gives us a way to make decisions about measures of uncertainty. We discuss odds, chances, and likelihood, rules for assigning probability (classical, relative frequency, & subjective), statistical experiments, and counting rules. Dr. Daniel explai

From playlist Basic Business Statistics (QBA 237 - Missouri State University)

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Basic Probability | Real World College Math | Study Hall

Life is full of uncertainty and when we have any sort of question with unknown possibilities, we're dealing with probability. In this episode, we discuss mathematical probability and how math helps us predict what will happen. During our next couple of episodes, we’ll use our knowledge o

From playlist Real World College Math: Course Foundations

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Describing subsets of sample spaces exercise | Probability and Statistics | Khan Academy

In this example, determine the scenarios that are probable given the rolling of two dice. Practice this lesson yourself on KhanAcademy.org right now: https://www.khanacademy.org/math/probability/independent-dependent-probability/basic_probability/e/describing-subsets-of-sample-spaces?utm

From playlist Precalculus | Get Ready for Grade Level | Khan Academy

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Digging into Data: Probability Review

An overview of the course and data science. To be viewed before the first class on February 3, 2014.

From playlist Digging into Data

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Review: Probability

Review of basics of probability, random variables, etc.

From playlist cs273a

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Intro to Probabilities in Statistics (Full Length)

An AP Statistics lecture introducing probabilities, randomness, Law of Large Numbers, Probability Model, Tree Diagram, 5 Rules of Probability,etc. Closed Captions done by Rami Iska and my friend and co-worker Joh Trunk. Thank you so very much for your help:) Check out http://www.ProfRob

From playlist AP Statistics

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4.5.1 Expectation: Video

MIT 6.042J Mathematics for Computer Science, Spring 2015 View the complete course: http://ocw.mit.edu/6-042JS15 Instructor: Albert R. Meyer License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT 6.042J Mathematics for Computer Science, Spring 2015

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Finding the conditional probability from a two way frequency table

👉 Learn how to find the conditional probability of an event. Probability is the chance of an event occurring or not occurring. The probability of an event is given by the number of outcomes divided by the total possible outcomes. Conditional probability is the chance of an event occurring

From playlist Probability

Related pages

Sample space | Dice | Randomization | Event (probability theory) | Probability theory | Set (mathematics) | Experiment (probability theory) | Probability | Probability space | Power set | Elementary event