Probability What is the probability of rolling “snake eyes” in one roll? What is the probability of rolling “yahtzee” in one roll?

Slides:



Advertisements
Similar presentations
Beginning Probability
Advertisements

A.P. STATISTICS LESSON 6 – 2 (DAY2) PROBABILITY RULES.
Randomness and Probability
Section 5.1 and 5.2 Probability
Sets: Reminder Set S – sample space - includes all possible outcomes
Chapter 6: Probability : The Study of Randomness “We figured the odds as best we could, and then we rolled the dice.” US President Jimmy Carter June 10,
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.
Copyright © Cengage Learning. All rights reserved. 8.6 Probability.
Probability Rules l Rule 1. The probability of any event (A) is a number between zero and one. 0 < P(A) < 1.
Section 5.2 The Addition Rule and Complements
Chapter 4 Probability See.
1 Probability. 2 Today’s plan Probability Notations Laws of probability.
AP Statistics Chapter 6 Notes. Probability Terms Random: Individual outcomes are uncertain, but there is a predictable distribution of outcomes in the.
Chapter 1:Independent and Dependent Events
Some Probability Rules Compound Events
The Practice of Statistics
Tree Diagram Worksheet
Basic Probability Rules Let’s Keep it Simple. A Probability Event An event is one possible outcome or a set of outcomes of a random phenomenon. For example,
Lesson 6 – 2b Probability Models Part II. Knowledge Objectives Explain what is meant by random phenomenon. Explain what it means to say that the idea.
Chapter 16 Probability. Activity Rock-Paper-Scissors Shoot Tournament 1)Pair up and choose one person to be person A and the other person B. 2)Play 9.
1 CHAPTERS 14 AND 15 (Intro Stats – 3 edition) PROBABILITY, PROBABILITY RULES, AND CONDITIONAL PROBABILITY.
Copyright © Cengage Learning. All rights reserved. 8.6 Probability.
Probability and Simulation Rules in Probability. Probability Rules 1. Any probability is a number between 0 and 1 0 ≤ P[A] ≤ 1 0 ≤ P[A] ≤ 1 2. The sum.
PROBABILITY, PROBABILITY RULES, AND CONDITIONAL PROBABILITY
Copyright © 2010 Pearson Education, Inc. Slide
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,
1 CHAPTER 7 PROBABILITY, PROBABILITY RULES, AND CONDITIONAL PROBABILITY.
Probability. Rules  0 ≤ P(A) ≤ 1 for any event A.  P(S) = 1  Complement: P(A c ) = 1 – P(A)  Addition: If A and B are disjoint events, P(A or B) =
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.
Section 3.2 Conditional Probability and the Multiplication Rule.
Conditional Probability and the Multiplication Rule.
Chapter 6 Day 2. Multiplication Principle – if you do one task a number of ways and a second task b number of ways, then both tasks can be done a x b.
+ Chapter 5 Overview 5.1 Introducing Probability 5.2 Combining Events 5.3 Conditional Probability 5.4 Counting Methods 1.
Conditional Probability and the Multiplication Rule NOTES Coach Bridges.
5-Minute Check on Section 6-2a Click the mouse button or press the Space Bar to display the answers. 1.If you have a choice from 6 shirts, 5 pants, 10.
Chapter 10 – Data Analysis and Probability 10.7 – Probability of Compound Events.
AP Statistics Section 6.2 B Probability Rules. If A represents some event, then the probability of event A happening can be represented as _____.
Chapter 14 From Randomness to Probability. Dealing with Random Phenomena A random phenomenon: if we know what outcomes could happen, but not which particular.
AP Statistics Probability Rules. Definitions Probability of an Outcome: A number that represents the likelihood of the occurrence of an outcome. Probability.
+ Section 5.2 Probability Rules After this section, you should be able to… DESCRIBE chance behavior with a probability model DEFINE and APPLY basic rules.
6.2 – Probability Models It is often important and necessary to provide a mathematical description or model for randomness.
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.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 5 Probability: What Are the Chances? 5.2.
Conditional Probability 423/what-is-your-favorite-data-analysis-cartoon 1.
Probability Models Section 6.2.
Section 5.1 and 5.2 Probability
Lesson 10.4 Probability of Disjoint and Overlapping Events
Chapter 6 6.1/6.2 Probability Probability is the branch of mathematics that describes the pattern of chance outcomes.
CHAPTER 5 Probability: What Are the Chances?
PROBABILITY AND PROBABILITY RULES
Good afternoon! August 9, 2017.
CHAPTER 5 Probability: What Are the Chances?
CHAPTER 5 Probability: What Are the Chances?
Probability Models Section 6.2.
CHAPTER 5 Probability: What Are the Chances?
CHAPTER 5 Probability: What Are the Chances?
Homework: pg. 398 #4, 5 pg. 402 #10, 11 4.) A. A single random digit simulates one shot, 1-7 represents a made shot 8-10 represents a miss. Then 5 consecutive.
Click the mouse button or press the Space Bar to display the answers.
7.2 Union, intersection, complement of an event, odds
Additional Rule of Probability
CHAPTER 5 Probability: What Are the Chances?
Probability Rules Rule 1.
CHAPTER 5 Probability: What Are the Chances?
6.2 Probability Models.
Business and Economics 7th Edition
Unit 6: Probability: What are the Chances?
Presentation transcript:

Probability What is the probability of rolling “snake eyes” in one roll? What is the probability of rolling “yahtzee” in one roll?

Probability Rules Any probability is between 0 and 1 0 ≤ P(A) ≤ 1 The sum of the probabilities of all possible outcomes must equal 1 if S is in the sample space, the P(S) = 1 If two events have no outcomes in common, the probability that one or the other occurs is the sum of their individual probabilities addition rule for disjoint events: P(A or B) = P(A) + P(B) The probability that an event does not occur is 1 minus the probability that the event does occur. complement rule: P(A C ) = 1 – P(A)

Set Notation The set of all outcomes are in either A or B “A union B” “A or B” A  B The set of all outcomes in both A and B “A intersect B” “A and B” A  B The set of no outcomes: empty set  if 2 events are disjoint… A  B = 

Example What is the probability of rolling a 5 with two dice? Using S =  1, 2, 3, 4, 5, 6, 7, 8, 9  –What is the probability of choosing a number greater than 6? –What is the probability of not choosing 1?

Multiplication Rule Two events are independent if knowing that one occurs does not change the probability that the other occurs P(A and B) = P(A)P(B) What is the probability of tossing 5 coins and obtaining all tails?

Independent? Tossing two coins? Dealing two red cards in a row from a standard deck of cards? A doctor measuring your blood pressure twice in a row? Taking an IQ test twice in a row?

Independent or Disjoint The multiplication rule holds if A and B are independent but not otherwise The addition rule holds if A and B are disjoint but not otherwise Disjoint events cannot be independent –If A and B are disjoint, then the fact that A occurs tells us that B cannot occur Independent or Disjoint? –Event A: Randomly selected person is a man –Event B: Randomly selected person is pregnant

Homework 6.2 #37-41, 44, 46-52