STAT1301 P&S I Tutorial 1 By Joseph Dong 21SEP2010,

Slides:



Advertisements
Similar presentations
You have been given a mission and a code. Use the code to complete the mission and you will save the world from obliteration…
Advertisements

(Fuzzy Set Operations)
Mathematical Preliminaries
What can we say about probability? It is a measure of likelihood, uncertainty, possibility, … And it is a number, numeric measure.
Fundamentals of Probability
Sample Space A theater uses a letter to show which row a seat is in, and a number to show the column the seat is in. If there are rows A-J and numbers.
Jeopardy Q 1 Q 6 Q 11 Q 16 Q 21 Q 2 Q 7 Q 12 Q 17 Q 22 Q 3 Q 8 Q 13
Jeopardy Q 1 Q 6 Q 11 Q 16 Q 21 Q 2 Q 7 Q 12 Q 17 Q 22 Q 3 Q 8 Q 13
Title Subtitle.
DIVIDING INTEGERS 1. IF THE SIGNS ARE THE SAME THE ANSWER IS POSITIVE 2. IF THE SIGNS ARE DIFFERENT THE ANSWER IS NEGATIVE.
Addition Facts
Year 6 mental test 5 second questions
CS CS1512 Foundations of Computing Science 2 Lecture 23 Probability and statistics (4) © J.
CS1512 Foundations of Computing Science 2 Week 3 (CSD week 32) Probability © J R W Hunter, 2006, K van Deemter 2007.
Around the World AdditionSubtraction MultiplicationDivision AdditionSubtraction MultiplicationDivision.
SADC Course in Statistics Laws of Probability (Session 02)
5.1 Probability of Simple Events
Beginning Probability
Theoretical and Experimental Probability 13-2
Tutorial 8, STAT1301 Fall 2010, 16NOV2010, By Joseph Dong.
How To Use Google Forms to Create A Test Quick Easy Self-Graded!! Instant Reports.
ABC Technology Project
9.5 Counting Subsets of a Set: Combinations
MAT 103 Probability In this chapter, we will study the topic of probability which is used in many different areas including insurance, science, marketing,
Business and Economics 6th Edition
Basic Permutations and Combinations
Chapter 2.3 Counting Sample Points Combination In many problems we are interested in the number of ways of selecting r objects from n without regard to.
Squares and Square Root WALK. Solve each problem REVIEW:
Copyright © Cengage Learning. All rights reserved.
Chapter 5 Test Review Sections 5-1 through 5-4.
GG Consulting, LLC I-SUITE. Source: TEA SHARS Frequently asked questions 2.
19. Probability. a. SERRA.
Addition 1’s to 20.
Probability Ch 14 IB standard Level.
25 seconds left…...
Week 1.
We will resume in: 25 Minutes.
©Brooks/Cole, 2001 Chapter 12 Derived Types-- Enumerated, Structure and Union.
PSSA Preparation.
IP, IST, José Bioucas, Probability The mathematical language to quantify uncertainty  Observation mechanism:  Priors:  Parameters Role in inverse.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 14 From Randomness to Probability.
Basics of Statistical Estimation
Equivalence Relations
Copyright © Cengage Learning. All rights reserved.
Pick Me. Basic Probability Population – a set of entities concerning which statistical inferences are to be drawn Random Sample – all member of population.
12 April 2009Instructor: Tasneem Darwish1 University of Palestine Faculty of Applied Engineering and Urban Planning Software Engineering Department Introduction.
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.
Chapter 4 Probability and Probability Distributions
Probability and Statistics Dr. Saeid Moloudzadeh Sample Space and Events 1 Contents Descriptive Statistics Axioms of Probability Combinatorial.
Probability Chapter 3. § 3.1 Basic Concepts of Probability.
10/1/20151 Math a Sample Space, Events, and Probabilities of Events.
Probability Notes Math 309. Sample spaces, events, axioms Math 309 Chapter 1.
CPSC 531: Probability Review1 CPSC 531:Probability & Statistics: Review Instructor: Anirban Mahanti Office: ICT Class.
Probability I. Sample Spaces Sample space: The set of possible outcomes for a question or experiment Experiment: Flip a two sided coin Question: Did the.
Week 11 What is Probability? Quantification of uncertainty. Mathematical model for things that occur randomly. Random – not haphazard, don’t know what.
확률및공학통계 (Probability and Engineering Statistics) 이시웅.
Probability Basic Concepts Start with the Monty Hall puzzle
Sixth lecture Concepts of Probabilities. Random Experiment Can be repeated (theoretically) an infinite number of times Has a well-defined set of possible.
Probability Theory Rahul Jain. Probabilistic Experiment A Probabilistic Experiment is a situation in which – More than one thing can happen – The outcome.
Probability theory is the branch of mathematics concerned with analysis of random phenomena. (Encyclopedia Britannica) An experiment: is any action, process.
3.4 Elements of Probability. Probability helps us to figure out the liklihood of something happening. The “something happening” is called and event. The.
Experiments, Outcomes and Events. Experiment Describes a process that generates a set of data – Tossing of a Coin – Launching of a Missile and observing.
Basic Probability. Introduction Our formal study of probability will base on Set theory Axiomatic approach (base for all our further studies of probability)
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.
Chapter 4 Probability Concepts
Chapter 6 6.1/6.2 Probability Probability is the branch of mathematics that describes the pattern of chance outcomes.
What is Probability? Quantification of uncertainty.
Probability: Test Tomorrow
Probability: Test Tomorrow
Probability Notes Math 309.
Presentation transcript:

STAT1301 P&S I Tutorial 1 By Joseph Dong 21SEP2010,

Assignment Box Location 5/F Red side, Meng Wah Complex Box No. 6 Website: 2

Given a set of 5 differently colored points, in how many ways can you choose a unique subset of 2 points? 3

Use the numbers set {1,2,3,4,5} to replace the colored points set. The Experiment is to choose a subset of 2 numbers, e.g., {1,2}. The Question is to find the number of different 2-element subsets can be chosen. The default method is enumeration: {1,2}, {1,3}, {1,4}, …… then count. This can go inefficient easily when large quantities are involved. Need a smart way… Look for patterns … (Someone has done this and the result is formulated in the combinatorial number.) 4

end of 12xxx Observation 1: The first two columns now contain all 2-element subsets, with lots of duplications. Observation 2: The duplications are of two kinds: 12xxx 12xxx vs. 21xxx 5

end of 12xxx Observation 3: #duplications of the first 12xxx type depends on how many elements are there in the tail xxx. Observation 4: #duplications of the second type (12xxx vs 21xxx) depends on how many elements are there in the head 12. 6

Original: In how many ways can one choose from a set of 5 elements a subset of 2 elements. Alternative: In how many ways can one partition a set of 5 elements in to 2 groups, one of which containing 2 elements, the other 3. 7

In how many ways can you partition the set {1,2,…,10} in to 5 subsets consisting of 1,1, 2,3,and 3 elements respectively? In how many ways can you arrange the letters of the word STATISTICS? 8

Multiplication Principle Symmetry Argument (Indifference Principle) The Art of Identifying Symmetric Duplications You need to be both good at thinking on this fundamental layer and thinking on the higher executive layer. 9

Choose 5000 from different objects. Flip a coin times and observe exactly 5000 heads. Toss a die 60 times and observe each number 10 times. 10

Judy has 7 identical chocolate beans and she wants to consume them in the next 4 days with the requirement at least 1 each day. In how many ways can she accomplish this? * is a chocolate bean. * * * * * * * * *|* *|*|* * The problem becomes In how many ways can you insert 3 bars in between the *s. Observation: 6 slits to be occupied by 3 bars. 11

What if Judy allow eating no bean for any day but still need to finish all 7 beans in 4 days? * * *||* * * *| There are effectively #(*) + #(|) positions for the 3 bars (|) to choose. We look at a simplified case: * * and ||| Now think dynamically, Initial arrangement: | | | * * Now think of the dynamic process of morphing the initial arrangement into the following arrangement: | * | * | Then ask yourself how many positionsreal and ghostare available for the 3 bars? 12

See Problem 4 in the Handout. 13

ordering DistinguishedIndistinguished replacement with with at least 1 **|*|*|** without at least 1 ||**|****| without 14 The Grouping Problem Permutation Multiplication Principle Combination

Set Theory is the language of Mathematical Logic. The Twin Objects in Set Theory: Set vs. Elements(points) vs. The Triad of Set Operations: Complementation (Not) Union (Or) Intersection (And) De Morgans Laws Venns Diagrams De Morgans Laws Complementation (not) Intersection ( and) Union (or) 15

16

a) The set of female year-1 or year-2 students b) The set of female local students c) The set of year-1 male non-local students d) The set of year-3 female local students e) The set of year-1 or year-2 non-local female students. 17

BASIC EXAMPLE SUBSTANTIALLY MORE TECHNICAL EXAMPLE See Problem 5 in the Handout. See Problem 6 in the Handout. 18

A sample space is a set. Results from Set Theory are applicable to Sample Space. A subset of a sample space is called an event. The elements (points) of a sample space are called outcomes. The sample space is the set of all possible outcomes of a given random experiment. 19

SET THEORETICAL LANGUAGE LOGICAL MEANING IN TERMS OF EVENTS realizes A A and B are incompatible A implies B A and B are both realized One and only one of the events A and B is realized One and only one of the events A1, A2, A3 is realized by any outcome/sample. 20

21

22

Laplaces classical definition of Probability: Involve counting the number of elements of both sets Example See Problem 2 in the handout. Which outcomes are favorable? What is the entire sample space? 23

Two views of Probability: Mathematical View: Probability as Count of elements, Length of a segment, Area of a surface, and Measure of a (measurable) set. Physical View: Probability as Mass of a set of point masses, Mass of a line, of a surface, of a volume, etc. Kolmogorovs Axioms of Probability: Every event happens with a probability, and we only use numbers from [0,1] to quantify probability. The sure event happens with probability 100%. The sum of the probability of the happening of two (or a countable number of) disjoint events must be equal to the probability of any of them happening. 24

Example See Problem 37 of Assignment 1 What is a good sample space to work on? Example See The Monty Hall Problem / Three Prisoners Problem What two events are involved when the host opens box B which is known to him to be empty? Event 1: the host chooses box B Event 2: box B is empty 25

26