Expected value

Expected Value Example and Intuitive Explanation

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From playlist Statistics

Expected Value (ACT Math Review Video Course 55 of 65)

From playlist ACT Math Review Video Course

Expected Value

This video introduces and provides 2 examples of expected value. http://mathispower4u.com

From playlist Probability

Expected Value Formula

A quick introduction to expected value formulas.

From playlist Basic Statistics (Descriptive Statistics)

Prob & Stats - Random Variable & Prob Distribution (12 of 53) The Expected Value Ex. 1

Visit http://ilectureonline.com for more math and science lectures! In this video I will define expected value of a random variable and find the expected value of the number of customers standing in line in a grocery store. Next video in series: http://youtu.be/k2l3BCd6Xjk

From playlist iLecturesOnline: Probability & Stats 2: Random Variable & Probability Distribution

How to find an Expected Value

How to find expected value by hand and in Excel using SUMPRODUCT.

From playlist Basic Statistics (Descriptive Statistics)

Expected Value of the Bernoulli Distribution | Probability Theory

How do we derive the mean or expected value of a Bernoulli random variable? We'll be going over that in today's probability theory lesson! Remember a Bernoulli random variable is a random variable that is equal to 1 (success) with probability p and equal to 0 (failure) with probability 1-

From playlist Probability Theory

Expected Value: E(X)

Expected value of a random variable

From playlist Statistics

Expectation Values in Quantum Mechanics

Expectation values in quantum mechanics are an important tool, which help us to mathematically describe measurements of quantum systems. You can think of expectation values as the average of all possible outcomes of a measurement, weighted by their respective probabilities. Contents: 00:

From playlist Quantum Mechanics, Quantum Field Theory

12. Iterated Expectations

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

Covariance and the regression line | Regression | Probability and Statistics | Khan Academy

Courses on Khan Academy are always 100% free. Start practicing—and saving your progress—now: https://www.khanacademy.org/math/statistics-probability/describing-relationships-quantitative-data/more-on-regression/v/covariance-and-the-regression-line Covariance, Variance and the Slope of th

From playlist Regression | Probability and Statistics | Khan Academy

04b Data Analytics Reboot: Statistical Expectation

Lecture on statistical expectation, description, properties and examples. Data Analytics and Geostatistics is an undergraduate course that I teach fall and spring semesters at The University of Texas at Austin. We build up fundamental spatial, subsurface, geoscience and engineering modeli

From playlist Data Analytics and Geostatistics

Quantum Physics Becomes Intuitive with this Theorem | Ehrenfest's Theorem EXPLAINED

The first 1000 people who click the link will get 2 free months of Skillshare Premium: https://skl.sh/parthg0820 This theorem helps us understand quantum mechanics in an intuitive way, and even to visualise it like we can visualise classical physics! Hey everyone! I'm back with Part 2 of

From playlist Quantum Physics by Parth G

Generalized Uncertainty Principle

We do a simple derivation of the Generalized Uncertainty Principle, and obtain the traditional Heisenberg position-momentum uncertainty principle as a special case.

From playlist Quantum Mechanics Uploads

6. Discrete Random Variables II

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

7. Discrete Random Variables III

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

STAT 200 Lesson 11 Lecture

0:55 - Review #1: Frequency tables 1:27 - Review #2: Two-way contingency tables 2:24 - Review #3: Probability distribution plots 3:26 - Review #4: Conditional probabilities 5:14 - Review #5: Independence 6:08 - Lesson 11 learning objectives 6:38 - 1. Construct a chi-square probability dist

From playlist STAT 200 Video Lectures

Ehrenfest's Theorem | Quantum Mechanics meets Classical Mechanics

In this video, we will investigate the Ehrenfest theorem, named after the Austrian physicist Paul Ehrenfest. It states that the expectation values of physical observables follow classical equations of motion if the potential is given in terms of a polynomial of degree two or less. This mea

From playlist Quantum Mechanics, Quantum Field Theory

Prob & Stats - Random Variable & Prob Distribution (43 of 53) The Expected Value

Visit http://ilectureonline.com for more math and science lectures! In this video I will find the expected value of a binomial distribution. Next video in series: http://youtu.be/zup2EhXJSsk

From playlist iLecturesOnline: Probability & Stats 2: Random Variable & Probability Distribution

24. Martingales: Stopping and Converging

MIT 6.262 Discrete Stochastic Processes, Spring 2011 View the complete course: http://ocw.mit.edu/6-262S11 Instructor: Robert Gallager License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT 6.262 Discrete Stochastic Processes, Spring 2011