Lecture 06 Prof. Dr. M. Junaid Mughal

Slides:



Advertisements
Similar presentations
Chapter 3 Probability.
Advertisements

Basic Concepts of Probability
Larson/Farber 4th ed 1 Basic Concepts of Probability.
1 Probability Theory Dr. Deshi Ye
CHAPTER 4: PROBABILITY.
Ch 5 Probability: The Mathematics of Randomness
Statistics and Probability Theory
Chapter 3 Probability.
Introduction to Probability
LING 438/538 Computational Linguistics Sandiway Fong Lecture 17: 10/24.
Lecture 07 Prof. Dr. M. Junaid Mughal
Conditional Probability
Probability Chapter 3. § 3.1 Basic Concepts of Probability.
Chapter 2 Probability.
Statistics and Probability Theory Lecture 09 Fasih ur Rehman.
Chapter 4 Probability See.
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.
Math I UNIT QUESTION: How do you use probability to make plans and predict for the future? Standard: MM1D1-3 Today’s Question: How can I find the different.
Lecture 08 Prof. Dr. M. Junaid Mughal
Topics to be covered: Produce all combinations and permutations of sets. Calculate the number of combinations and permutations of sets of m items taken.
Probability Rules!. ● Probability relates short-term results to long-term results ● An example  A short term result – what is the chance of getting a.
AP STATISTICS Section 6.2 Probability Models. Objective: To be able to understand and apply the rules for probability. Random: refers to the type of order.
Counting and Probability. Counting Elements of Sets Theorem. The Inclusion/Exclusion Rule for Two or Three Sets If A, B, and C are finite sets, then N(A.
1 Probability. 2 Today’s plan Probability Notations Laws of probability.
Lecture 03 Prof. Dr. M. Junaid Mughal Mathematical Statistics.
EXERCISE 10 Februari 2010.
Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.
President UniversityErwin SitompulPBST 1/1 Dr.-Ing. Erwin Sitompul President University Lecture 1 Probability and Statistics
Ch 5 Probability: The Mathematics of Randomness Random Variables and Their Distributions A random variable is a quantity that (prior to observation)
Basic Concepts of Probability Coach Bridges NOTES.
Week 11 What is Probability? Quantification of uncertainty. Mathematical model for things that occur randomly. Random – not haphazard, don’t know what.
ENM 503 Block 1 Algebraic Systems Lesson 3 – Modeling with Sets Sets - Why do we care? The Application of Sets – a look ahead 1 Narrator: Charles Ebeling.
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.
Probability Basic Concepts Start with the Monty Hall puzzle
Introduction to Probability 1. What is the “chance” that sales will decrease if the price of the product is increase? 2. How likely that the Thai GDP will.
Probability. Basic Concepts of Probability and Counting.
Sixth lecture Concepts of Probabilities. Random Experiment Can be repeated (theoretically) an infinite number of times Has a well-defined set of possible.
Unit 7A Fundamentals of Probability. BASIC TERMINOLOGY IN PROBABILITY Outcomes are the most basic possible results of observations or experiments. An.
Basic Concepts of Probability
Counting Sample Points
Copyright © 2015, 2012, and 2009 Pearson Education, Inc. 1 Chapter Probability 3.
Aim: ‘And’ Probabilities & Independent Events Course: Math Lit. Aim: How do we determine the probability of compound events? Do Now: What is the probability.
+ Chapter 5 Overview 5.1 Introducing Probability 5.2 Combining Events 5.3 Conditional Probability 5.4 Counting Methods 1.
Probability. 3.1 Events, Sample Spaces, and Probability Sample space - The set of all possible outcomes for an experiment Roll a die Flip a coin Measure.
Probability Any event occurring as a result of a random experiment will usually be denoted by a capital letter from the early part of the alphabet. e.g.
PROBABILITY AND BAYES THEOREM 1. 2 POPULATION SAMPLE PROBABILITY STATISTICAL INFERENCE.
Probability Experiments Probability experiment An action, or trial, through which specific results (counts, measurements, or responses) are obtained. Outcome.
Mr. Mark Anthony Garcia, M.S. Mathematics Department De La Salle University.
Experiments, Outcomes and Events. Experiment Describes a process that generates a set of data – Tossing of a Coin – Launching of a Missile and observing.
Copyright ©2004 The McGraw-Hill Companies, Inc. Permission required for reproduction or display. 4-1 Probability and Counting Rules CHAPTER 4.
PROBABILITY bability/basicprobability/preview.we ml.
AP STATISTICS LESSON AP STATISTICS LESSON PROBABILITY MODELS.
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.
1 2.3 Counting Sample Points (6)(6)(6)= 216 Example: How many outcome sequences are possible when a die is rolled three times?
Probability and Counting Rules
Chapter 4 Probability Concepts
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.
Chapter 6 6.1/6.2 Probability Probability is the branch of mathematics that describes the pattern of chance outcomes.
Chapter 3 Probability Larson/Farber 4th ed.
Chapter 3 Probability.
Basic Concepts of Probability
Elementary Statistics: Picturing The World
Chapter 3 Probability.
Warm Up Which of the following are combinations?
Chapter 3 Probability.
Chapter 3 Probability Larson/Farber 4th ed.
Chapter 3 Probability.
Section 6.2 Probability Models
CHAPTER 4 PROBABILITY Prem Mann, Introductory Statistics, 8/E Copyright © 2013 John Wiley & Sons. All rights reserved.
Presentation transcript:

Lecture 06 Prof. Dr. M. Junaid Mughal Mathematical Statistics Lecture 06 Prof. Dr. M. Junaid Mughal

Last Class Events Operation with events Venn Diagram Problems Intersection of events Union of events Venn Diagram Problems

Today’s Agenda Introduction to Probability (continued) Counting Problems Multiplication Theorem

Probability If there are n equally likely possibilities of which one must occur and s are regarded as favorable or success, then the probability of success is given by s/n; Classical approach If n repetitions of an experiment (n very large), an event is observed to occur in h of these, then probability of the event is then h/n. This also called Empirical Probability; Frequency Approach.

Counting Problems In order to evaluate probability, we must know how many elements are there in sample space. Finite and Infinite Sample Space Continuous and Discrete Sample Space

Example An experiment consists of flipping a coin and then flipping it a second time if a head occurs. If a tail occurs on the first, flip, then a die is tossed once. T D

Example An experiment consists of flipping a coin and then flipping it a second time if a head occurs. If a tail occurs on the first, flip, then a die is tossed once.

Example S= {HH, HT, T1, T2, T3, T4, T5, T6}. An experiment consists of flipping a coin and then flipping it a second time if a head occurs. If a tail occurs on the first, flip, then a die is tossed once The sample space can be written from the tree diagram as S= {HH, HT, T1, T2, T3, T4, T5, T6}.

Example 2 Suppose that three items are selected at random from a manufacturing process. Each item is inspected and classified defective, D, or non-defective, N. To list the elements of the sample space providing the most information, we construct the tree diagram. TD

Example 2 Suppose that three items are selected at random from a manufacturing process. Each item is inspected and classified defective, D, or non-defective, N. To list the elements of the sample space providing the most information, we construct the tree diagram

Sample Space- Tree Diagram Suppose that three items are selected at random from a manufacturing process. Each item is inspected and classified defective, D, or non-defective, N. To list the elements of the sample space providing the most information, we construct the tree diagram The sample space can be written from the tree diagram as S = {DDD, DDN, DND, DNN, NDD, NDN, NND, NNN}.

Counting Sample Points In the experiment when two dies are rolled and we are only interested in the sum of the dies which is equal to 7. Writing down all the elements in the sample space will be cumbersome in such an experiment. However if we only know how many all possible elements are in the sample space, that may be enough to solve the problem

Counting Sample Points In many cases we shall be able to solve a probability problem by counting the number of points in the sample space without actually listing each element. The fundamental principle of counting, is often referred to as the multiplication rule

Counting Problem (Multiplication Theorem) If an operation can be performed in n1 ways, and if for each of these ways a second operation can be performed in n2 way, then the two operations can be performed together in n1n2 ways

Counting Problem (Multiplication Theorem) If sets A and B contain respectively m and n elements, there are m*n ways of choosing an element from A then an element from B.

Example How many sample points are: there: in the sample: space when a pair of dice is thrown once? TD

Example How many sample points are: there: in the sample: space when a pair of dice is thrown once?

Example A developer of a new subdivision offers prospective home buyers a choice of Tudor, rustic:, colonial, and traditional exterior styling in ranch, two-story, and split-level floor plans. In how many different ways can a buyer order one of these homes? TD

Example A developer of a new subdivision offers prospective home buyers a choice of Tudor, rustic:, colonial, and traditional exterior styling in ranch, two-story, and split-level floor plans. In how many different ways can a buyer order one of these homes?

Counting Problem (Multiplication Theorem) If an operation can be performed in n1 ways, and if for each of these a second operation can be performed in n2 ways, and for each of the first two a third operation can be performed in nk ways, and so forth, then the sequence of k operations can be performed in n1n2n3…nk ways.

Example Sam is going to assemble a computer by himself. He: has the choice of ordering chips from two brands, a hard drive from four, memory from three, and an accessory bundle from five local stores. How many different, ways can Sam order the parts? TD

Example Sam is going to assemble a computer by himself. He: has the choice of ordering chips from two brands, a hard drive from four, memory from three, and an accessory bundle from five local stores. How many different, ways can Sam order the parts?

Exercise 2.21 Registrants at a large convention are offered 6 sightseeing tours on each of 3 days. In how many ways can a person arrange to go on a sight seeing tour planned by this convention? TREE DIAGRAM

Exercise 2.21 Registrants at a large convention are offered 6 sightseeing tours on each of 3 days. In how many ways can a person arrange to go on a sight seeing tour planned by this convention?

Exercise 2.22 In a medical study patients are classified in 8 ways according to whether they have blood type AB+, AB~, A+, A~, B+, B~, 0+, or 0~, and also according to whether their blood pressure is low, normal, or high. Find the number of ways in which a patient can be classified.

Exercise 2.23 If an experiment consists of throwing a die and then drawing a letter at random from the English alphabet, how many points are there in the sample space?

Exercise 2.24 Students at a private liberal arts college are classified as being freshmen, sophomores, juniors, or seniors, and also according to whether they are male or female. Find the total number of possible classifications for the students of that college.

Exercise 2.25 A certain shoe comes in 5 different styles with each style available in 4 distinct colors. If the store wishes to display pairs of these shoes showing all of its various styles and colors, how many different pairs would the store have on display?

Summary Introduction to Probability Counting Sample Points Multiplication Theorem

References Probability and Statistics for Engineers and Scientists by Walpole