COMPSCI 240 Lecture Notes - Lecture 7: Bernoulli Distribution, Random Variable

• School: UMASS-Amherst
• Department: Computer Science
• Course: COMPSCI 240
• Professor: Jie Xiong

Document Summary

Lecture 7 a common discrete rvs cdmfs ) a the uniform random variables a the bernoulli. On the passion random variables a n n: discrete uniform random variables. A discrete uniform random variable x with range tab takes on any integer value between a and b inclusive with the same probability ] a. b a used to model pwbatistic situations where each of the values a , Suppose we have an experiment with two outcomes. We define a random variable x such that. X that takes the two values 0 or. Plx =k ) tpp it k=o it kh a. Variable the sum lor sequence ) of independent and identically distributed bernoulli random variables . Xlo ) the number of heads in outcome 0 a. =l e) pkltpjmk is the formula for two possible outcomes ot coin toss. We have 3 ditterent outcomes with a probability p , a , r.