This preview shows pages 1–5. 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 Document
Unformatted text preview: Law of Large Numbers Probability is a long term number Ex. Flip a coin 5 times and get 5 heads in a row, is a tail due on next flip? Random events do not compensate for short term behavior Over a long sequence of flips, even after a sequence of many heads in a row, P(tails after sequence) = 0.5 Law of Large Numbers Over the long term, P(heads) = 0.5 Long term  Infinite...
View Full
Document
 Spring '08
 Graham
 Probability

Click to edit the document details