Introduction to Probability

Slides:



Advertisements
Similar presentations
Introduction to Probability
Advertisements

Probability: The Study of Randomness
CHAPTER 40 Probability.
MA 102 Statistical Controversies Monday, April 1, 2002 Today: Randomness and probability Probability models and rules Reading (for Wednesday): Chapter.
This is a discrete distribution. Poisson is French for fish… It was named due to one of its uses. For example, if a fish tank had 260L of water and 13.
Unit 1 OUTCOMES AND LIKELIHOODS. Unit Essential Question: How do you determine, interpret, and apply principles of probability?
Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Chapter 4 Probability.
Probability Part 3 – What is Probability?. Probability Warm-up How many ways can a dinner patron select 3 appetizers and 2 vegetables if there are 6 appetizers.
November 2004CSA4050: Crash Concepts in Probability1 CSA4050: Advanced Topics in NLP Probability I Experiments/Outcomes/Events Independence/Dependence.
Computing Fundamentals 2 Lecture 6 Probability Lecturer: Patrick Browne
Dr. Ahmed Abdelwahab Introduction for EE420. Probability Theory Probability theory is rooted in phenomena that can be modeled by an experiment with an.
Chapter 4 Probability. Definitions A probability experiment is a chance process that leads to well-defined results called outcomes. An outcome is the.
Section 3.2 Notes Conditional Probability. Conditional probability is the probability of an event occurring, given that another event has already occurred.
Vocabulary Two events in which either one or the other must take place, but they cannot both happen at the same time. The sum of their probabilities.
Lesson Probability Rules. Objectives Understand the rules of probabilities Compute and interpret probabilities using the empirical method Compute.
Essential Statistics Chapter 91 Introducing Probability.
CHAPTER 10 Introducing Probability BPS - 5TH ED.CHAPTER 10 1.
5.1 Randomness  The Language of Probability  Thinking about Randomness  The Uses of Probability 1.
Probability You’ll probably like it!. Probability Definitions Probability assignment Complement, union, intersection of events Conditional probability.
YMS Chapter 6 Probability: Foundations for Inference 6.1 – The Idea of Probability.
Lesson 8.7 Page #1-29 (ODD), 33, 35, 41, 43, 47, 49, (ODD) Pick up the handout on the table.
Conditional Probability and Independent Events
Basic Concepts of Probability
BPS - 3rd Ed. Chapter 91 Introducing Probability.
8-3: Probability and Probability Distributions English Casbarro Unit 8.
11.7 Continued Probability. Independent Events ► Two events are independent if the occurrence of one has no effect on the occurrence of the other ► Probability.
A General Discussion of Probability Some “Probability Rules” Some abstract math language too! (from various internet sources)
BPS - 5th Ed. Chapter 101 Introducing Probability.
Probability. Randomness When we produce data by randomized procedures, the laws of probability answer the question, “What would happen if we did this.
Welcome to MM305 Unit 3 Seminar Prof Greg Probability Concepts and Applications.
1 Chapter 10 Probability. Chapter 102 Idea of Probability u Probability is the science of chance behavior u Chance behavior is unpredictable in the short.
STATISTICS 6.0 Conditional Probabilities “Conditional Probabilities”
Copyright ©2004 The McGraw-Hill Companies, Inc. Permission required for reproduction or display. 4-1 Probability and Counting Rules CHAPTER 4.
Probability What is the probability of rolling “snake eyes” in one roll? What is the probability of rolling “yahtzee” in one roll?
AP STATISTICS LESSON THE IDEA OF PROBABILITY.
© 2005 McGraw-Hill Ryerson Ltd. 4-1 Statistics A First Course Donald H. Sanders Robert K. Smidt Aminmohamed Adatia Glenn A. Larson.
. Chapter 14 From Randomness to Probability. Slide Dealing with Random Phenomena A is a situation in which we know what outcomes could happen, but.
Basic Practice of Statistics - 3rd Edition Introducing Probability
Mathematics Department
From Randomness to Probability
Unit 8 Probability.
Welcome to MM305 Unit 3 Seminar Dr
Chapter 3 Probability.
Chapter 6 6.1/6.2 Probability Probability is the branch of mathematics that describes the pattern of chance outcomes.
Brief General Discussion of Probability: Some “Probability Rules” Some abstract math language too! (from various internet sources)
Probability and Counting Rules
Statistics and Quantitative Analysis U4320
From Randomness to Probability
From Randomness to Probability
AND.
Tutorial 8: Probability Distribution
From Randomness to Probability
Probability.
From Randomness to Probability
Probability Models Section 6.2.
Honors Statistics From Randomness to Probability
Basic Practice of Statistics - 3rd Edition Introducing Probability
Chapter 6: Probability: What are the Chances?
Probability: The Study of Randomness
Basic Practice of Statistics - 3rd Edition Introducing Probability
Brief General Discussion of Probability: Some “Probability Rules”
Probability The risk of getting struck by lightning in any year is 1 in 750,000. The chances of surviving a lightning strike are 3 in 4. These risks.
Brief General Discussion of Probability: Some “Probability Rules”
Section 11.7 Probability.
Unit 6: Application of Probability
Essential Statistics Introducing Probability
6.2 Probability Models.
Basic Practice of Statistics - 5th Edition Introducing Probability
Warm Up Multiply. Write each fraction in simplest form.  
Probability.
Presentation transcript:

Introduction to Probability Basic ideas and concepts

What is Probability? For a random phenomenon, individual outcomes are not certain but there is a regular distribution of outcomes in the long run. The probability of an outcome is its long-term relative frequency.

What are the possible outcomes? We want to make a list of possible outcomes, then find the probability for each outcome. The sample space is the set of all possible outcomes. Events are specific outcomes or a set of outcomes in the sample space.

Useful facts about probability The probability of an event cannot be less than 0 or greater than 1. All possible outcomes together must have probability 1. The probability of an event occurring is 1 minus the probability that it does not occur. If 2 events have no outcomes in common, the probability that one or the other occurs is the sum of their individual probabilities

Useful facts about probability The events A and B are said to be independent if the occurrence of A does not affect the probability that B occurs, and vice versa. Thus, for independent events A and B, P(AB) = P(A)·P(B)