Basic Concepts of Probability Probability Experiment: an action,or trial through which specific results are obtained. Results of a single trial is an outcome.

Slides:



Advertisements
Similar presentations
Introduction to Probability
Advertisements

Theoretical Probability
Theoretical Probability
Chapter 3 Probability.
Basic Concepts of Probability
Larson/Farber 4th ed 1 Basic Concepts of Probability.
Unit 4 Sections 4-1 & & 4-2: Sample Spaces and Probability  Probability – the chance of an event occurring.  Probability event – a chance process.
Slide Slide 1 Copyright © 2007 Pearson Education, Inc Publishing as Pearson Addison-Wesley. Created by Tom Wegleitner, Centreville, Virginia Section 4-3.
Section 5.2 The Addition Rule and Complements
Basic Concepts and Approaches
Chapter 4 Probability See.
10/1/20151 Math a Sample Space, Events, and Probabilities of Events.
Chapter 8 Probability Section R Review. 2 Barnett/Ziegler/Byleen Finite Mathematics 12e Review for Chapter 8 Important Terms, Symbols, Concepts  8.1.
Probability. Basic Concepts of Probability and Counting.
Basic Concepts of Probability Coach Bridges NOTES.
Chapter 4 Probability ©. Sample Space sample space.S The possible outcomes of a random experiment are called the basic outcomes, and the set of all basic.
Sample space the collection of all possible outcomes of a chance experiment –Roll a dieS={1,2,3,4,5,6}
Section 3.1 Notes Basic Concepts of Probability. Probability Experiments A probability experiment is an action or trial through which specific results.
1 1 Slide © 2003 Thomson/South-Western. 2 2 Slide © 2003 Thomson/South-Western Chapter 4 Introduction to Probability n Experiments, Counting Rules, and.
Chapter 3 Probability Larson/Farber 4th ed. Chapter Outline 3.1 Basic Concepts of Probability 3.2 Conditional Probability and the Multiplication Rule.
Chapter Probability 1 of 88 3 © 2012 Pearson Education, Inc. All rights reserved.
From Randomness to Probability Chapter 14. Dealing with Random Phenomena A random phenomenon is a situation in which we know what outcomes could happen,
1 1 Slide © 2004 Thomson/South-Western Assigning Probabilities Classical Method Relative Frequency Method Subjective Method Assigning probabilities based.
1 1 Slide Introduction to Probability Assigning Probabilities and Probability Relationships Chapter 4 BA 201.
Probability: Terminology  Sample Space  Set of all possible outcomes of a random experiment.  Random Experiment  Any activity resulting in uncertain.
Probability. Basic Concepts of Probability and Counting.
Chapter 6 Lesson 6.1 Probability 6.1: Chance Experiments and Events.
BIA 2610 – Statistical Methods
CHAPTER 3 PROBABILITY 3.1 Basic Concepts of Probability.
Copyright © 2015, 2012, and 2009 Pearson Education, Inc. 1 Chapter Probability 3.
Probability Chapter 3. § 3.1 Basic Concepts of Probability.
4-3 Addition Rule This section presents the addition rule as a device for finding probabilities that can be expressed as P(A or B), the probability that.
AP Statistics Section 6.2 B Probability Rules. If A represents some event, then the probability of event A happening can be represented as _____.
Probability theory is the branch of mathematics concerned with analysis of random phenomena. (Encyclopedia Britannica) An experiment: is any action, process.
Unit 4 Section 3.1.
THE MATHEMATICAL STUDY OF RANDOMNESS. SAMPLE SPACE the collection of all possible outcomes of a chance experiment  Roll a dieS={1,2,3,4,5,6}
Experiments, Outcomes and Events. Experiment Describes a process that generates a set of data – Tossing of a Coin – Launching of a Missile and observing.
1 Probability- Basic Concepts and Approaches Dr. Jerrell T. Stracener, SAE Fellow Leadership in Engineering EMIS 7370/5370 STAT 5340 : PROBABILITY AND.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Lecture Slides Elementary Statistics Eleventh Edition and the Triola Statistics Series by.
G: SAMPLING WITH AND WITHOUT REPLACEMENT H: SETS AND VENN DIAGRAMS CH 22GH.
Venn Diagrams.
Probability Probability II. Opening Routine # 1.
Chapter 3 Probability. 3.1 Basic Concepts of Probability I.Probability Experiments Probability is the foundation of inferential statistics Probability.
Chapter 4 Probability and Counting Rules. Introduction “The only two sure things are death and taxes” A cynical person once said.
AP Statistics From Randomness to Probability Chapter 14.
Section 4.1 What is Probability ? Larson/Farber 4th ed 1.
Lecture Slides Elementary Statistics Twelfth Edition
Introduction To Probability
Sec. 4-5: Applying Ratios to Probability
Probability I.
Chapter 3 Probability.
Probability.
Chapter 4 Probability Concepts
Chapter 6 6.1/6.2 Probability Probability is the branch of mathematics that describes the pattern of chance outcomes.
Probability I.
Simple Probability Probability Experiment: An action (trial) that has measurable results (counts, measurements, responses). Outcome: The result of a single.
Chapter 3 Probability Larson/Farber 4th ed.
Chapter 3 Probability.
Basic Concepts of Probability
Probability I.
Finding the Complement of Event E AGENDA:
Elementary Statistics: Picturing The World
Probability Probability is the frequency of a particular outcome occurring across a number of trials
Probability I.
Chapter 3 Probability.
Chapter 3 Probability Larson/Farber 4th ed.
Honors Statistics From Randomness to Probability
Probability I.
Probability I.
Mrs.Volynskaya Alg.2 Ch.1.6 PROBABILITY
Presentation transcript:

Basic Concepts of Probability Probability Experiment: an action,or trial through which specific results are obtained. Results of a single trial is an outcome The set of all possible outcomes is the sample space. All probabilities should be between 0 and 1.

Sets and Venn Diagrams A Venn Diagram usually consists of a rectangle which represents the sample space, and circles within it representing particular events. A S 6 4 The event A = {1,2} when rolling a die. The sample space S = {1,2,3,4,5,6} 5

S, the sample space is represented by a rectangle and A, an event, is represented by a circle. A S Set Notation is the complement of A.

Complement of event: The set of all outcomes in samples space that are not included in event E. The complement of event E is denoted by E and is read as E prime E 6 5 E

If S = {1,2,3,4,5,6,7}, and A = {2,4,6} then = {1,3,5,7} n(A) reads the number of elements in set A

Union denotes the union of sets A and B This set contains all elements belonging to A or B, or both A and B. A B

Intersection denotes the intersection of sets A and B. This is the set of all elements common to both sets. A B

Mutually Exclusive Disjoint sets are sets which do not have elements in common These two sets are disjoint AB

Tree Diagram:one way to list outcomes. Tree Diagram for Coin and Die Experiment H T H1 H2 H3 H4 H5 H6 T1 T2 T3 T4 T5 T6

Simple Events An event that consists of a single outcome The outcome {3,2}is different from the outcome{2,3}for a statistician, but not for a player The event {3,2} is a simple event. The event roll a sum of 5 is not simple because it consists of the four outcomes {1,4}, {2,3}, {3,2} and {4,1}.

Law of Large Numbers As an experiment is repeated over and over, the empirical probability of an event approaches the theoretical (actual) probability of the event. TypeSummaryFormula Classical (Theoretical) Probability The number of outcomes in the sample space is known and each outcome is equally likely to occur. P(E)= Number of outcomes in an event E Number of outcomes in sample space Empirical (Statistical) Probability The frequency of outcomes in the sample space is estimated from experimentation. P(E)=Frequency of E Total frequency = Subjective Probability Probabilities result from intuition, educated guesses, and estimates. None