COMM 291 Lecture Notes - Lecture 9: Random Variable, Bernoulli Distribution, Probability Distribution

• School: UBC
• Department: Commerce
• Course: COMM 291
• Professor: Jonathan Berkowitz

Document Summary

I only if x and y are t t var. 2 possible discrete guys here mean you found. Let be number of successes where each trial. Binom ( n n - number of trials p . M ( mu ) ( sigma . you have. Var ( b x) a vari squared ) (x - m ) 2. ,, y,,qyq, o k ! ( n - k ) ! independent. Sd ( ax are only in n t by ) , p ) trials trials outcomes and go p n where. Random variable ( rv ) a variable whose value is a numerical outcome of a random phenomenon . Probability distribution outcomes and their probabilities just like categorical data.