Experiments, Outcomes and Events. Experiment Describes a process that generates a set of data – Tossing of a Coin – Launching of a Missile and observing.

Slides:



Advertisements
Similar presentations
Beginning Probability
Advertisements

MAT 103 Probability In this chapter, we will study the topic of probability which is used in many different areas including insurance, science, marketing,
Introduction to Probability Experiments, Outcomes, Events and Sample Spaces What is probability? Basic Rules of Probability Probabilities of Compound Events.
Dealing with Data Probability. What’s the probability? What’s the probability of the spinner stopping in the yellow section. (All the sections are equal.)
Chapter 2 Probability. 2.1 Sample Spaces and Events.
Birthday Problem What is the smallest number of people you need in a group so that the probability of 2 or more people having the same birthday is greater.
Week 21 Basic Set Theory A set is a collection of elements. Use capital letters, A, B, C to denotes sets and small letters a 1, a 2, … to denote the elements.
From Randomness to Probability
Introduction Probability is a number from 0 to 1 inclusive or a percent from 0% to 100% inclusive that indicates how likely an event is to occur. In the.
MAT 103 Probability In this chapter, we will study the topic of probability which is used in many different areas including insurance, science, marketing,
Probability Sample Space Diagrams.
1. Experiment, Trial and Outcome 2. Sample Space 3. Event 4. Special Events 5. Events As Sets 6. Mutually Exclusive Events 1.
Probability and Statistics Dr. Saeid Moloudzadeh Sample Space and Events 1 Contents Descriptive Statistics Axioms of Probability Combinatorial.
Basic Probability Sets, Subsets Sample Space Event, E Probability of an Event, P(E) How Probabilities are assigned Properties of Probabilities.
13-1 Experimental and Theoretical Probability. Outcome: the possible result of a situation or experiment Even: may be a single outcome or a group of outcomes.
Conditional Probability
Describing Events Adapted from Walch Education Key Concepts A set is a list or collection of items. Set A is a subset of set B, denoted by A ⊂ B, if.
Copyright (c) 2004 Brooks/Cole, a division of Thomson Learning, Inc. Chapter 2 Probability.
Rules of the game: Syllabus and time table are available at: Read Appendix.
Chapter 7: Probability Lesson 2: Addition Counting Principles Mrs. Parziale.
Warm-Up 1. What is Benford’s Law?
Probability Introduction Examples Key words Practice questions Venn diagrams.
1.4 Equally Likely Outcomes. The outcomes of a sample space are called equally likely if all of them have the same chance of occurrence. It is very difficult.
1 CHAPTERS 14 AND 15 (Intro Stats – 3 edition) PROBABILITY, PROBABILITY RULES, AND CONDITIONAL PROBABILITY.
UNIT 5: PROBABILITY Basic Probability. Sample Space Set of all possible outcomes for a chance experiment. Example: Rolling a Die.
List one thing that has a probability of 0?. agenda 1) notes on probability 2) lesson 1 example 1, 2 Exercise 5-8 Problem set 1-3 3)start lesson 3.
PROBABILITY, PROBABILITY RULES, AND CONDITIONAL PROBABILITY
Review Homework pages Example: Counting the number of heads in 10 coin tosses. 2.2/
5.1 Randomness  The Language of Probability  Thinking about Randomness  The Uses of Probability 1.
From Randomness to Probability Chapter 14. Dealing with Random Phenomena A random phenomenon is a situation in which we know what outcomes could happen,
확률및공학통계 (Probability and Engineering Statistics) 이시웅.
Statistics Lecture 4. Last class: measures of spread and box-plots Have completed Chapter 1 Today - Chapter 2.
Probability Basics Section Starter Roll two dice and record the sum shown. Repeat until you have done 20 rolls. Write a list of all the possible.
Sixth lecture Concepts of Probabilities. Random Experiment Can be repeated (theoretically) an infinite number of times Has a well-defined set of possible.
Probability.
Probability Theory Rahul Jain. Probabilistic Experiment A Probabilistic Experiment is a situation in which – More than one thing can happen – The outcome.
§2 Frequency and probability 2.1The definitions and properties of frequency and properties.
Probability theory is the branch of mathematics concerned with analysis of random phenomena. (Encyclopedia Britannica) An experiment: is any action, process.
5.2 Day One Probability Rules. Learning Targets 1.I can describe a probability model for a chance process. 2.I can use basic probability rules, including.
Probability Experiments Probability experiment An action, or trial, through which specific results (counts, measurements, or responses) are obtained. Outcome.
3.4 Elements of Probability. Probability helps us to figure out the liklihood of something happening. The “something happening” is called and event. The.
Probability 9.8. Copyright © by Houghton Mifflin Company, Inc. All rights reserved. 2 Definition: Experiment Any activity with an unpredictable results.
Chapter 7 Sets & Probability Section 7.3 Introduction to Probability.
PROBABILITY, EVENTS AND OUTCOMES Yo yo yo welcome back!!!!!!!! Happy NEW YEAR! SWBAT: Define probability, event & outcomes Determine the probability of.
How likely is something to happen..  When a coin is tossed, there are two possible outcomes: heads (H) or tails (T) We say the probability of a coin.
G: SAMPLING WITH AND WITHOUT REPLACEMENT H: SETS AND VENN DIAGRAMS CH 22GH.
6.2 – Probability Models It is often important and necessary to provide a mathematical description or model for randomness.
Basic Probabilities Starting Unit 6 Today!. Definitions  Experiment – any process that generates one or more observable outcomes  Sample Space – set.
Probability Models Section 6.2. The Language of Probability What is random? What is random? Empirical means that it is based on observation rather than.
Counting and Probability. Imagine tossing two coins and observing whether 0, 1, or 2 heads are obtained. Below are the results after 50 tosses Tossing.
Chapter 10 PROBABILITY. Probability Terminology  Experiment: take a measurement Like flipping a coin  Outcome: one possible result of an experiment.
Probability GPS Algebra. Let’s work on some definitions Experiment- is a situation involving chance that leads to results called outcomes. An outcome.
PROBABILITY Probability Concepts
Chapter 6 6.1/6.2 Probability Probability is the branch of mathematics that describes the pattern of chance outcomes.
Subtopic : 10.1 Events and Probability
PROBABILITY AND PROBABILITY RULES
What is Probability? Quantification of uncertainty.
Unit 5: Probability Basic Probability.
Unit 4 Probability Basics
Introduction Probability is a number from 0 to 1 inclusive or a percent from 0% to 100% inclusive that indicates how likely an event is to occur. In the.
Probability Union Intersection Complement
Section 6.2 Probability Models
Probability.
Probability Vocabulary:
Digital Lesson Probability.
Unit 6: Application of Probability
Sample Spaces, Subsets and Basic Probability
Investigation 2 Experimental and Theoretical Probability
Probability of two events
NOTE 2: sample spaces There are a number of ways of displaying sample spaces: Listing outcomes 2-dimensional graphs Tree diagrams Venn diagrams.
Presentation transcript:

Experiments, Outcomes and Events

Experiment Describes a process that generates a set of data – Tossing of a Coin – Launching of a Missile and observing its velocity – Opinions of Voters concerning a new tax An experiment is a situation involving chance or probability that leads to results called outcomes.

Trial A single performance of an experiment is called a Trial. The result of a trial is called an Outcome or a Sample Point. The set of all possible outcomes of an experiment is called a Sample Space. Subsets of a Sample Space are called Events.

Sample Space Inspecting a light bulb Rolling a dice Asking for opinions about a new car model An experiment consists of flipping a coin and then flipping it second time, if a head occurs. If a tail occurs on a first flip, then a die is tossed once.

Examples – Sample Space The set of integers between 1 and 50 and divisible by 8 S = { x! x 2 + 4x – 5 = 0 } Set of outcomes when a coin is tossed until a tail or three heads appear Set of sampling items randomly until one defective item is observed.

Problem Which of the following events are equal? – A = { 1, 3} – B = { x ! x is a number on the die} – C = { x ! x 2 - 4x + 3 = 0 } – D = { x ! x is the number of heads when six coins are tossed }

Definitions An event is a subset of a Sample Space. The complement of an event A with respect to S is the subset of all elements of S that are not in A. The intersection of two events A and B is the event containing all elements that are common to A and B. The union of two events A and B is the event containing all the elements that belong to A or B or both.

Mutually Exclusive Events Two events A and B or Mutually Exclusive or Disjoint, if A and B have no elements in common.

Problem 1 Graph a Sample Space for the experiment: Tossing Two Coins

Problem 3 Graph a Sample Space for the experiment: Rolling Two Dice

Problem 5 Graph a Sample Space for the experiment: Rolling a Dice until the first six appears

Problem 11 In rolling two dice, are the events: – A: Sum divisible by 3 – B: Sum divisible by 5 are mutually exclusive?

Problem 17 Using Venn Diagram, graph and check De Morgan’s Law.

Problem A glass jar contains 1 red, 3 green, 2 blue and 4 yellow marbles. If a single marble is chosen at random from the jar, what is the probability of each outcome?