Lecture22 - GEM2900: Understanding Uncertainty &...

Info iconThis preview shows pages 1–4. Sign up to view the full content.

View Full Document Right Arrow Icon
DSAP, NUS, Semester 1, 2008/2009 – 1 GEM2900: Understanding Berwin Turlach [email protected] Department of Statistics and Applied Probability National University of Singapore
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Poisson probability distribution (cont.) DSAP, NUS, Semester 1, 2008/2009 – 166 E XAMPLE : (Death by Horse Kick in Prussian Army cont.) For this example: χ 2 = c s i =1 ( o i - e i ) 2 e i = (109 - 108 . 67) 2 108 . 67 + (65 - 66 . 29) 2 66 . 29 + (22 - 20 . 22) 2 20 . 22 + (3 - 4 . 11) 2 4 . 11 + (1 - 0 . 71) 2 0 . 71 = 0 . 599929 But is this value “typical” or “suspiciously large”? It can be shown, that (under some conditions) this statistics follows an (approximate) χ 2 d distribution with a particular parameter d . Woolfson (2008, Chapters 6.2, 8 and 12.4)
Background image of page 2
Joint distributions of (discrete) random variables
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 4
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 03/19/2012 for the course SCIENCE 2900 taught by Professor Forgot during the Spring '08 term at National University of Singapore.

Page1 / 5

Lecture22 - GEM2900: Understanding Uncertainty &...

This preview shows document pages 1 - 4. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online