Dice Games & Probabilities

Slides:



Advertisements
Similar presentations
Rare Events, Probability and Sample Size. Rare Events An event E is rare if its probability is very small, that is, if Pr{E} ≈ 0. Rare events require.
Advertisements

Chapter 12 Probability © 2008 Pearson Addison-Wesley. All rights reserved.
Thermo & Stat Mech - Spring 2006 Class 16 1 Thermodynamics and Statistical Mechanics Probabilities.
Section 7A: Fundamentals of Probability Section Objectives Define outcomes and event Construct a probability distribution Define subjective and empirical.
Describing Probability
Dice Games & Probabilities. Thermo & Stat Mech - Spring 2006 Class 16 Dice Games l One die has 6 faces. So, the probabilities associated with a dice game.
9.7 Probability Mutually exclusive events. Definition of Probability Probability is the Outcomes divided by Sample Space. Outcomes the results of some.
What is Probability? The study of probability helps us figure out the likelihood of something happening. In math we call this “something happening” or.
Fall 2014 Fadwa ODEH (lecture 1). Probability & Statistics.
EXAMPLE 1 Construct a probability distribution
What is Probability? The study of probability helps us figure out the likelihood of something happening. In math we call this “something happening” or.
PROBABILITY  A fair six-sided die is rolled. What is the probability that the result is even?
EXAMPLE 1 Construct a probability distribution Let X be a random variable that represents the sum when two six-sided dice are rolled. Make a table and.
The Binomial Distribution. In Statistics we often talk about trials. e.g. A seed is sown and the flower is either yellow or not yellow. We mean an experiment,
16.4 Probability Problems Solved with Combinations.
UNR, MATH/STAT 352, Spring Time EruptionWaiting timeEruption.
1 Econ 240A Power Three. 2 Summary: Week One Descriptive Statistics –measures of central tendency –measures of dispersion Exploratory data Analysis –stem.
Bell Work: Factor x – 6x – Answer: (x – 8)(x + 2)
Thermo & Stat Mech - Spring 2006 Class 16 More Discussion of the Binomial Distribution: Comments & Examples jl.
Binomial Distributions Calculating the Probability of Success.
1. Population Versus Sample 2. Statistic Versus Parameter 3. Mean (Average) of a Sample 4. Mean (Average) of a Population 5. Expected Value 6. Expected.
Copyright © Cengage Learning. All rights reserved. Elementary Probability Theory 5.
CHAPTER 6: DISCRETE PROBABILITY DISTRIBUTIONS. PROBIBILITY DISTRIBUTION DEFINITIONS (6.1):  Random Variable is a measurable or countable outcome of a.
Random Variables. A random variable X is a real valued function defined on the sample space, X : S  R. The set { s  S : X ( s )  [ a, b ] is an event}.
You are familiar with the term “average”, as in arithmetical average of a set of numbers (test scores for example) – we used the symbol to stand for this.
Introduction to Probability © Christine Crisp “Teach A Level Maths” Statistics 1.
King Saud University Women Students
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 RES 341 RESEARCH AND EVALUATION WORKSHOP 4 By Dr. Serhat Eren University OF PHOENIX Spring 2002.
Copyright © Cengage Learning. All rights reserved. Elementary Probability Theory 5.
Y9 Booster Lesson 11. Objectives – what you should be able to do by the end of the lesson Systematically record all the outcomes of an experiment Understand.
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.
A General Discussion of Probability Some “Probability Rules” Some abstract math language too! (from various internet sources)
Probability and Simulation The Study of Randomness.
IE241 Solutions. 1. The binomial probability is 3 C 3 (1/2) 3 (1/2) 0 = 1/8 Or, since the three tosses are independent, P(H on 1st, H on 2nd, H on 3rd)
Random Variables Lecture Lecturer : FATEN AL-HUSSAIN.
Probability. Today we will look at… 1.Quick Recap from last week 2.Terminology relating to events and outcomes 3.Use of sample spaces when dealing with.
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.
AP Statistics Chapter 8 Section 2. If you want to know the number of successes in a fixed number of trials, then we have a binomial setting. If you want.
Chapter 12 Lesson 3 Probability. Vocabulary O Probability- A ratio that measures the chances of an event occurring. O Success- The desired outcome of.
CHAPTER 6 Random Variables
Probability Imagine tossing two coins and observing whether 0, 1, or 2 heads are obtained. It would be natural to guess that each of these events occurs.
4 Elementary Probability Theory
Brief General Discussion of Probability: Some “Probability Rules” Some abstract math language too! (from various internet sources)
Meaning of Probability
Student Activity 1: Fair trials with two dice
4 Elementary Probability Theory
Elementary Statistics
1.9 Probability.
Dice Games & Probabilities
10.1 Notes Need to grab a packet from the back for notes
More Discussion of the Binomial Distribution: Comments & Examples
Probability.
The Binomial Distribution
Probability.
More Discussion of the Binomial Distribution: Comments & Examples
goteachmaths.co.uk Combined Events – Complete Lesson
Section 3.2 Conditional Probability and the Multiplication Rule.
Probability of two events
Brief General Discussion of Probability: Some “Probability Rules”
Brief General Discussion of Probability: Some “Probability Rules”
Probability Problems Solved with
Make and use sample spaces and use the counting principle.
Wed + nes + day! Warm-Up… Quickwrite…
I flip a coin two times. What is the sample space?
Probability.
Probability Terminology: Experiment (or trial/s):
Bernoulli Trials and The Binomial Distribution
Complete the sample space diagram on your whiteboards
Chapter 11 Probability.
Presentation transcript:

Dice Games & Probabilities 3/21/06 Dice Games & Probabilities

Dice Games NOT Binomial Distributions! Problem: Solution: 3/21/06 Dice Games One die has 6 faces. So, the probabilities associated with a dice game are NOT Binomial Distributions! For 1 die, the probability of any face coming up is p = 1/6. So, its equally probable that any number from 1 to 6 will come up. Problem: When throwing 2 dice, what is the probability that the total will come up 2, 3, 4, etc up to 12? Solution: To calculate the probability of a particular outcome, we must first count the number of possible outcomes ≡ Np. Then, we must count the number of those that give the desired outcome ≡ no. l Thermo & Stat Mech - Spring 2006 Class 16

We first must list all possible outcomes NP! 3/21/06 When throwing 2 dice, what is the probability that the total will come up 2, 3, 4, etc up to 12? Solution: Need to count the number of possible outcomes ≡ Np. Need to also count the number of those that give the desired outcome ≡ no. The probability of the desired outcome = number that gives the desired outcome divided by the total number of outcomes. P(no) = (no)/(Np) So, p = 1/6 for one die. To do this for a pair of dice, We first must list all possible outcomes NP! l Thermo & Stat Mech - Spring 2006 Class 16

Table of the 36 Possible Outcomes of Throwing a Pair of Dice 3/21/06 Throwing a Pair of Dice Table of the 36 Possible Outcomes of Throwing a Pair of Dice Total Dots Combinations # Ways 2 1+1 1 3 1+2, 2+1 2 4 1+3, 3+1, 2+2 3 5 1+4, 4+1, 2+3, 3+2 4 6 1+5, 5+1, 2+4, 4+2, 3+3 5 7 1+6, 6+1, 2+5, 5+2, 3+4, 4+3 6 8 2+6, 6+2, 3+5, 5+3, 4+4 5 9 3+6, 6+3, 4+5, 5+4 4 10 4+6, 6+4, 5+5 3 11 5+6, 6+5 2 12 6+6 1 Total # Ways = 36 l Thermo & Stat Mech - Spring 2006 Class 16

The Probability Model for Two Fair Dice Example of a Random Phenomenon: Roll pair of fair dice. The Sample Space is illustrated in the figure: The probabilities of each individual of the 36 outcomes are found by inspection. Each clearly occurs with a probability of p = (1/36) = 0.0278

Probabilities for Throwing Two Dice 3/21/06 Probabilities for Throwing Two Dice l Thermo & Stat Mech - Spring 2006 Class 16

Thermo & Stat Mech - Spring 2006 Class 16 3/21/06 Examples Problem 1 Two faces of a die are painted red. When the die is thrown, what is the probability of a red face coming up? Solution P l Problem 2 Two normal dice are thrown. What is the probability of two 6’s coming up? l Thermo & Stat Mech - Spring 2006 Class 16

Example with Some Complications 3/21/06 Example with Some Complications p = probability of success (p = 1/6 for 1 die). q = probability of failure (q = 5/6 for 1 die). Of course p + q = 1, or q = 1 – p Problem 3 2 dice are thrown, what is the probability of getting only one 6? Solution The probability of the 6 on the 1st die & not the 2nd & the probability of the 6 on the 2nd die & not the 1st are both equal to So, the probability of getting only one 6 is: l Thermo & Stat Mech - Spring 2006 Class 16