ADM 2303 Lecture Notes - Lecture 5: Standard Deviation, Geometric Probability, Random Variable

30 views1 pages

Document Summary

N(cid:88) i=1 n(cid:88) n(cid:88) i=1 i p(x = xi) 2 x2. The poisson probability distribution (if approx"n of binomial, = np): E(x) = , v ar(x) = , e = 2. 718. P(x = x) = (1 p)x 1p for x = 1, 2, X n ( , ) f (x) = N (0, 1) p(z z) = using normal table. X uniform(a, b) f (x) = Subtraction rule (let ac be compliment of a, i. e. , not a): V ar(x) = 2 = (xi )2p(x = xi) Addition rule for two mutually exclusive events (where connotes or aka union): P(a b) = p(a) + p(b) i=1. Addition rule for two not mutually exclusive events: P(a b) = p(a) + p(b) p(a b) Multiplication rule for two independent events (where connotes and aka intersection): P(a1 a2 an) = p(a1) p(a2) p(an) Partition rule: for a partition b1, b2, , bk : k(cid:88) k(cid:88) Adding a constant c to random variable x:

Get access

Grade+20% off
$8 USD/m$10 USD/m
Billed $96 USD annually
Grade+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
40 Verified Answers
Class+
$8 USD/m
Billed $96 USD annually
Class+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
30 Verified Answers

Related Documents

Related Questions