L05.3 Probability Mass Functions
MIT RES.6-012 Introduction to Probability, Spring 2018
View the complete course: https://ocw.mit.edu/RES-6-012S18
Instructor: John Tsitsiklis
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Видео L05.3 Probability Mass Functions канала MIT OpenCourseWare
View the complete course: https://ocw.mit.edu/RES-6-012S18
Instructor: John Tsitsiklis
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Видео L05.3 Probability Mass Functions канала MIT OpenCourseWare
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L05.2 Definition of Random Variables
Probability Distribution Functions (PMF, PDF, CDF)
L05.7 Geometric Random Variables
L01.4 Probability Axioms
L06.4 Conditional PMFs & Expectations Given an Event
L05.4 Bernoulli & Indicator Random Variables
THE PROBABILITY MASS FUNCTION (PMF)
L08.4 Means & Variances
L18.6 Convergence in Probability
L07.2 Conditional PMFs
L22.2 Definition of the Poisson Process
L09.2 Conditioning A Continuous Random Variable on an Event
L13.3 The Law of Iterated Expectations
L05.6 Binomial Random Variables
L08.9 Calculation of Normal Probabilities
L07.7 Independence, Variances & the Binomial Variance
L13.6 The Conditional Variance
L01.5 Simple Properties of Probabilities