This preview shows pages 1–14. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: any given week is a constant p. Then the number of weeks BEFORE you win a prize for the first time is a geometric distribution. Fruit flies have either white or red eyes. Where the probability of white eyes is constant and equals 0.25. Then the number of flies that need to be checked BEFORE the first white eye is observed is a geometric distribution. In summary we notice that the binomial, negative binomial and geometric models all assume: 1.Two outcomes in each trial, 2.Independent Trails, 3.Each trial has the same probability of success. Example: Suppose there is a 30% chance of a car from a certain production line having a leaky windshield. The probability an inspector will have to check at least n cars to find the first one with a leaky windshield is 0.05. Find n....
View
Full
Document
This note was uploaded on 07/26/2011 for the course STAT 230 taught by Professor Various during the Spring '06 term at Waterloo.
 Spring '06
 various
 Binomial

Click to edit the document details