UGC NET CS: Discrete Structures & Optimization - Discrete Probability (5)

@sweetyasaiyed5920 UGC NET Paper 2 Computer Science and Applications Code No.:(87) UGC NET CS Syllabus Link: https://comptechaholic.com/e-learning/ For Lecture pdf of given video e-mail at: [email protected] Subject: PDF UNIT1 TOPIC3C Unit 1: Discrete Structures and Optimization (PART: 3C/7) Discrete Probability: Topics Covered: Probability Bayes’ Theorem Index: Probability Terminology Types of events Algebra of events Properties of Probability conditional probability Properties of conditional probability multiplication rule of probability independent Events Mutually independent events v/s Mutually exclusive events Bayes’ Theorem Partition of a sample space Theorem of total probability Bayes’ Theorem/ formula for the probability of "causes" Bayes’ Theorem random variable Types of Random Variables: Discrete Random Variables v/s Continuous Random Variables Probability distribution of a random variable mean, median and standard deviation of the random variable Bernoulli trials Types of Discrete Probability Distributions: Binomial distribution v/s Bernoulli distribution v/s Poisson distribution Timecode: 00:16 Probability 01:12 Types of events 02:30 Algebra of events 03:35 Properties of Probability 04:49 conditional probability 05:17 Properties of conditional probability 06:11 multiplication rule of probability 06:43 independent Events 07:09 Mutually independent events v/s Mutually exclusive events 07:34 Partition of a sample space 08:05 Theorem of total probability 08:18 formula for the probability of "causes" 08:39 Bayes’ Theorem 11:03 random variable 11:05 Types of Random Variables 11:28 Probability distribution of a random variable 14:08 mean, median and standard deviation of the random variable 14:46 Bernoulli trials 16:25 Types of Discrete Probability Distributions: Binomial distribution v/s Bernoulli distribution v/s Poisson distribution