11 conditional probability example 12 venn diagram

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: xample 12 Venn Diagram Linux Conditional Probability Mac OS General Multiplication Rule 9 4 3 9 2 2 17 Windows 4 3.12 Notes Conditional Probability Example 12 Notes Solution. 1 P(W ∩ M ∩ L|W ) = 9 50 30 50 P((W ∩M ∩L)∩W ) P(W ) = P(W ∩M ∩L) P(W ) = Conditional Probability = 0.3 P((W ∩M ∩L)∩W c ) 2 P(W ∩ M ∩ L|W c ) = 3 P( W | M ) = 4 P((W ∪ M ∪ L)c |W c ) = P((W ∪M ∪L)c ) P(W c ) P(W ∩M ) P(M ) = 1− 46 50 20 50 P(W c ) = 11 50 18 50 = = P(∅) P(W c ) = 0 50 20 50 General Multiplication Rule =0 11 18 P((W ∪M ∪L)c ∩W c ) P(W c ) = = 0.2 3.13 Summary Conditional Probability In this lecture, we learned Conditional probability: definition, formula, venn diagram representation General multiplication rule Conditional Probability General Multiplication Rule 3.14 Notes...
View Full Document

Ask a homework question - tutors are online