1.3 Conditional Probability

¡Supera tus tareas y exámenes ahora con Quizwiz!

Example 1.3-10

THIS

Example 1.3-11

THIS

Example 1.3-12

THIS

Example 1.3-6

THIS

Extending multiplication rule for conditional probabilities

THIS read the LHS then try to visualize or solve

Example 1.3-7

THIS you should learn that it is convenient to separate the event into two sections - normal and conditional probabilities - to calculate the intersection of them

The conditional probability of a sum of 3 given that a sum of 3 or 5 has occurred

probability that a sum of 3 is rolled before a sum of 5 is rolled can be thought of as

1. P(A|B) ≥ 0 2. P(B|B) = 1 3. if A₁, A₂, ... are mutually exclusive events, then P(A₁ ∪ A₂ ∪ ... A(k)|B) = P(A₁|B) + P(A₂|B) + ... + P(A(k)|B)

the three axioms for the conditional probability

Deduce P(A|B) from N(A) and N(B)

WORD

Definition of the multiplication rule for the conditional probability

WORD

Example 1.3-9 think of this example as an extension of multiplication rule for conditional probabilities

WORD

P(A|B)

WORD

Prove that 1. P(A|B) ≥ 0 2. P(B|B) = 1 hold

WORD


Conjuntos de estudio relacionados

Chapter 5-6 official test questions

View Set

A Guide to Computer User Support Ch.11

View Set

Ch, 10 leading, managing and delegating

View Set

The 7 Habits of Highly Effective People

View Set

Pharmacology Exam 3 PrepU and ATI Questions

View Set

General Science - Fossil Questions

View Set

Anatomy Mid 1 - Epithelial Tissues

View Set