Finding Probability Using Tree Diagrams or Tables

Slides:



Advertisements
Similar presentations
Designing Investigations to Predict Probabilities Of Events.
Advertisements

JUST FLIPPING AROUND  Created By:  J. Whitlock, T.Garcia, and A. Aceves  For:  Ms. Wiltshire’s Class  On:  October 2002.
COUNTING AND PROBABILITY
Mathematics.
EXAMPLE 1 Using Theoretical Probability Predict the number of times a coin will land heads up in 50 coin tosses. There are two equally likely outcomes.
Probability. The probability of an event occurring is between 0 and 1 If an event is certain not to happen, the probability is 0 eg: the probability of.
Nuffield Free-Standing Mathematics Activity
Confidential2 Warm Up 1.Tossing a quarter and a nickel HT, HT, TH, TT; 4 2. Choosing a letter from D,E, and F, and a number from 1 and 2 D1, D2, E1, E2,
Counting Principles and Probability Digital Lesson.
Confidential2 Warm Up 1.Tossing a quarter and a nickel 2. Choosing a letter from D,E, and F, and a number from 1 and 2 3.Choosing a tuna, ham, or egg.
Business and Finance College Principles of Statistics Eng. Heba Hamad 2008.
Lecture Slides Elementary Statistics Twelfth Edition
Conditional Probability and Independence Target Goals: I can use a tree diagram to describe chance behavior. I can use the general multiplication rule.
PROBABILITY the extent to which an event is likely to occur.
EXAMPLE 2 Find a theoretical probability T-shirts You and your friends designed T-shirts with silk screened emblems, and you are selling the T-shirts to.
Introduction to Probability © Christine Crisp “Teach A Level Maths” Statistics 1.
Created by Tom Wegleitner, Centreville, Virginia Section 3-6 Probabilities Through Simulations.
COUNTING OUTCOMES & THEORETICAL PROBABILITY 12-4.
Section 11.4 Tree Diagrams, Tables, and Sample Spaces Math in Our World.
EXAMPLE 1 Independent and Dependent Events Tell whether the events are independent or dependent. SOLUTION You randomly draw a number from a bag. Then you.
The Cosmic Ray Observatory Project High Energy Physics Group The University of Nebraska-Lincoln Counting Random Events A “fair” coin is flipped at the.
FORM : 4 DEDIKASI PRESENTED BY : GROUP 11 KOSM, GOLDCOURSE HOTEL, KLANG FORM : 4 DEDIKASI PRESENTED BY : GROUP 11 KOSM, GOLDCOURSE HOTEL, KLANG.
Introduction  Probability Theory was first used to solve problems in gambling  Blaise Pascal ( ) - laid the foundation for the Theory of Probability.
Overview Of Probability Distribution. Standard Distributions  Learning Objectives  Be familiar with the standard distributions (normal, binomial, and.
Are these independent or dependent events?
Chapter 7: Probability Lesson 1: Basic Principles of Probability Mrs. Parziale.
Data Handling Multiple Choice (BCD Questions). A B C D Q1. An ordinary fair dice is thrown at the same time a a coin is tossed. The probability of obtaining.
Warm Up: Quick Write Which is more likely, flipping exactly 3 heads in 10 coin flips or flipping exactly 4 heads in 5 coin flips ?
Independent and Dependent events. What is the difference between independent and dependent events?  You have three marbles in a bag. There are two blue.
1. The father determines the gender of the child True or False?
Probability Distribution. Probability Distributions: Overview To understand probability distributions, it is important to understand variables and random.
1.A true-false quiz has five questions. Use the Fundamental Counting Principle to find the total number of ways that you can answer the quiz. 2. You spin.
Mutually Exclusive & Independence PSME 95 – Final Project.
We want to see who has the luck! Tally up the number of times each player wins. Play from games. PlayersTallyGames Won Player 1 Player 2 Player 3.
COMPOUND EVENTS Grade 7 – Chadwick International School.
Probability and Probability Distributions. Probability Concepts Probability: –We now assume the population parameters are known and calculate the chances.
1 COMP2121 Discrete Mathematics Principle of Inclusion and Exclusion Probability Hubert Chan (Chapters 7.4, 7.5, 6) [O1 Abstract Concepts] [O3 Basic Analysis.
Probability Distributions
Copyright © 2009 Pearson Education, Inc.
Introduction to Probability
Chapter 11 Probability.
Copyright © 2016, 2013, and 2010, Pearson Education, Inc.
Experimental Probability
PROBABILITY.
Meaning of Probability
Introduction to Probability
Minds on! If you choose an answer to this question at random, what is the probability you will be correct? A) 25% B) 50% C) 100% D) 25%
4.5 – Finding Probability Using Tree Diagrams and Outcome Tables
9. Relative frequency and probability
EXAMPLE 1 Find a sample space
Round percents to the tenth.
Statistics for Business and Economics
Pettit 9-2 Notes D7 : Compute probabilities using tree diagrams
The probability of event P happening is 0. 34
Probability and Counting Rules
PROBABILITY.
Probability Probability underlies statistical inference - the drawing of conclusions from a sample of data. If samples are drawn at random, their characteristics.
Probability Trees By Anthony Stones.
The Wink Game In the cup are 2 chips. One chip has a dot ( ) on it and the other chip has a dash ( ). One chip is drawn from the cup. The symbol on.
Finding Probability Using Tree Diagrams and Outcome Tables
Welcome Stand Quietly * Take out math folder
Lecture 22 Section 7.1 – Wed, Oct 20, 2004
Probability.
PROBABILITY Lesson 10.3A.
COUNTING AND PROBABILITY
Probability Tree diagrams
5-8 Probability and Chance
“And” Probabilities.
Two coins are flipped at the same time Two coins are flipped at the same time. Compare and contrast what is the same and what is different about.
Presentation transcript:

Finding Probability Using Tree Diagrams or Tables

Can you list out all the combinations of food and drink? Ham macaroni + Soft drink, Ham macaroni + Tea, Ham macaroni + Coffee, ⋮ There are too many combinations. I am afraid I will miss some of them.

You can list them out effectively by drawing a tree diagram. For each kind of food, there are 4 choices for drink. Write down the choices in the 2nd column for each kind of food. There are 3 choices for food. Write down the choices in the 1st column. List out the combinations.

12 different combinations If we assume that the food and drink are randomly selected, each combination will occur with a probability of .

Let’s study a simple example. For two true-or-false questions, the answers for the first and second questions are ‘true’ and ‘false’ respectively. If Albert chooses his answers at random, find the probabilities that he gets (a) both answers correct, (b) only one answer correct. Let’s study a simple example. Let T stand for true and F stand for false. 1st question T F 2nd question F T Possible Outcomes T, T T, F F, T F, F 4 possible outcomes From the tree diagram, there are 4 equally likely outcomes. (a) There is only 1 favourable outcome, i.e. T, F. 1 ∴ P(both answers are correct) 4

For two true-or-false questions, the answers for the first and second questions are ‘true’ and ‘false’ respectively. If Albert chooses his answers at random, find the probabilities that he gets (a) both answers correct, (b) only one answer correct. Let T stand for true and F stand for false. 1st question T F 2nd question F T Possible Outcomes T, T T, F F, T F, F 4 possible outcomes From the tree diagram, there are 4 equally likely outcomes. (b) There are 2 favourable outcomes, i.e. T, T and F, F. 4 2 ∴ P(only one answer is correct)

Follow-up question Solution Mr Li has 3 children. Find the probability that only 2 of them are girls. Solution Let B stand for a boy and G stand for a girl. 1st child B G 2nd child G B G 3rd child B Possible Outcomes B, B, B B, B, G B, G, B B, G, G G, B, B G, B, G G, G, B G, G, G 8 possible outcomes in which 3 outcomes have two daughters. From the tree diagram, there are 8 equally likely outcomes 3 ∴ P(only 2 of the children are girls) 8

Let H stand for a head and T stand for a tail. Besides using tree diagrams, we may also list all the possible outcomes in tables. However, it is much simpler to use tree diagrams for 3 or more successive events. For example, the table below lists all the possible outcomes of tossing a coin twice. Let H stand for a head and T stand for a tail. possible outcomes of the first toss Second toss  H T  possible outcomes of the second toss First toss H HH HT 4 possible outcomes T TH TT

Follow-up question Tom chooses a letter at random from each of the two words ‘SKY’ and ‘SHY’. List all the possible outcomes in a table. Hence, find the probability that the two letters are the same. Solution 2nd word S H Y S SS SH SY 9 possible outcomes 1st word K KS KH KY Y YS YH YY From the table, there are 9 possible outcomes in which 2 outcomes have the same letter. 2 ∴ P(two letters are the same) 9