STAT 1051 Lecture Notes - Lecture 12: Xu, Random Variable, Fair Coin

49 views2 pages
Verified Note
19 Oct 2018
School
Department
Course
Professor

Document Summary

Stat 1051 lecture 10 chapter 4 (october 1) Rules: p(x) 0 for all of x. Toss a fair coin 4 times (x = number of heads) P(0) = p(x = 0) = p(tttt) = 1/16. P(1) = p(x = 1) = p(httt, thtt, ttht, ttth) = 4/16. For a discrete random variable x, the mean or expected value or expectation of a. Where is all values of x of c. For a discrete random variable c, the variable is defined as. Binomial variable: assume only two possible values within 1 (success, and failure) A random variable x is said to be bernoulli if the random variable can. Mean = u = e(x) = ( 0 x q ) + (1 x p ) = p. There are n independent and identical trials. Each trial has two possible outcomes called successes (s) and failures (f) P(f) = q = 1 - p for each trial.

Get access

Grade+
$40 USD/m
Billed monthly
Grade+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
10 Verified Answers
Class+
$30 USD/m
Billed monthly
Class+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
7 Verified Answers

Related textbook solutions

Related Documents

Related Questions