Chapter 4 notes - Notes for Chapter 4 from Stat 225 Section...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
Notes for Chapter 4 from Stat 225 Section 4.1 Conditional Probability Conditional Probability- Let A and B be events. The probability that event B occurs given that event A occurs is called a conditional probability, and it is denoted by: ) ( () PB PA     . The event on the right side is the “given” event. It is read probability of B given A. As long as P(A)>0, you can use the above formula. This works as long as you know the 2 probabilities on the right side. This is very useful in Venn Diagram problems. However, for simpler cases you can also find it by the following: (      This second equation can be used for “simple” examples (examples where N is small, and all outcomes are known and have equal probability). Some examples where this would work would be flipping a coin repeatedly, or rolling a dice 1 or 2 times, etc. Section 4.2 General Multiplication Rule and Law of Total Probability General Multiplication Rule: ( ) ( )* ( P A B P A P B
Background image of page 1

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

View Full DocumentRight Arrow Icon
Image of page 2
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 02/06/2012 for the course STAT 225 taught by Professor Martin during the Spring '08 term at Purdue University-West Lafayette.

Page1 / 3

Chapter 4 notes - Notes for Chapter 4 from Stat 225 Section...

This preview shows document pages 1 - 2. Sign up to view the full document.

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