SI485i : NLP Day 2 Probability Review. Introduction to Probability Experiment (trial) Repeatable procedure with well-defined possible outcomes Outcome.
More Probability STA 220 – Lecture #6 1. Basic Probability Definition Probability of an event – Calculated by dividing number of ways an event can occur.
STAT 111 Chapter three Conditional Probability and Independence 1.
Week 11 What is Probability? Quantification of uncertainty. Mathematical model for things that occur randomly. Random – not haphazard, don’t know what.
ELEC 303, Koushanfar, Fall’09 ELEC 303 – Random Signals Lecture 2 – Conditional probability Farinaz Koushanfar ECE Dept., Rice University Aug 27, 2009.
D O YOU KNOW WHEN E XAM 1 IS ? Slide 1- 1 1. Yes 2. No 3. I need a break.
The Laws of Probability. Basic Laws to review Probability of an event : Probability of an event : Complement of an event: P(A’) = 1 – P(A) Complement.
2 - 1 Chapter 2 Probability. 2 - 2 Chapter Outline 2.1 Sample Space 2.2 Events 2.3 Counting Sample Points 2.4 Probability of an Event 2.5 Additive Rules.
ELEC 303, Koushanfar, Fall’09 ELEC 303 – Random Signals Lecture 1 - General info, Sets and Probabilistic Models Farinaz Koushanfar ECE Dept., Rice University.
Week61 Probability and Sample space We call a phenomenon random if individual outcomes are uncertain but there is a regular distribution of outcomes in.
1 Be humble in our attribute, be loving and varying in our attitude, that is the way to live in heaven.
Warm-Up: 1)Define sample space. 2)Give the sample space for the sum of the numbers for a pair of dice. 3)You flip four coins. What’s the probability of.
