STAT 104: Section 4 27 Feb, 2008 TF: Daniel Moon.

Slides:



Advertisements
Similar presentations
Section 5.1 and 5.2 Probability
Advertisements

Chapter 4 Probability and Probability Distributions
1. Probability 2. Random variables 3. Inequalities 4. Convergence of random variables 5. Point and interval estimation 6. Hypotheses testing 7. Nonparametric.
Learning Goal 13: Probability Use the basic laws of probability by finding the probabilities of mutually exclusive events. Find the probabilities of dependent.
Probability Rules l Rule 1. The probability of any event (A) is a number between zero and one. 0 < P(A) < 1.
AP STATISTICS.   Theoretical: true mathematical probability  Empirical: the relative frequency with which an event occurs in a given experiment  Subjective:
5.2A Probability Rules! AP Statistics.
Section 5.2 The Addition Rule and Complements
Chapter 6 Probability.
Chapter 4 Probability Copyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved.McGraw-Hill/Irwin.
The Erik Jonsson School of Engineering and Computer Science © Duncan L. MacFarlane Probability and Stochastic Processes Yates and Goodman Chapter 1 Summary.
Copyright ©2011 Nelson Education Limited. Probability and Probability Distributions CHAPTER 4 Part 2.
Chapter 4 Probability See.
AP Statistics Notes Chapter 14 and 15.
10/1/20151 Math a Sample Space, Events, and Probabilities of Events.
Chapter 8 Probability Section R Review. 2 Barnett/Ziegler/Byleen Finite Mathematics 12e Review for Chapter 8 Important Terms, Symbols, Concepts  8.1.
10/3/20151 PUAF 610 TA Session 4. 10/3/20152 Some words My –Things to be discussed in TA –Questions on the course and.
Sample space The set of all possible outcomes of a chance experiment –Roll a dieS={1,2,3,4,5,6} –Pick a cardS={A-K for ♠, ♥, ♣ & ♦} We want to know the.
UNIT 8: PROBABILITY 7 TH GRADE MATH MS. CARQUEVILLE.
1 Chapters 6-8. UNIT 2 VOCABULARY – Chap 6 2 ( 2) THE NOTATION “P” REPRESENTS THE TRUE PROBABILITY OF AN EVENT HAPPENING, ACCORDING TO AN IDEAL DISTRIBUTION.
Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Chapter 4 Probability.
Probability Notes Math 309. Sample spaces, events, axioms Math 309 Chapter 1.
AP Statistics Chapter 6 Notes. Probability Terms Random: Individual outcomes are uncertain, but there is a predictable distribution of outcomes in the.
Unit 3 Review. Sec 5.1: Designing Samples Define the terms population and sample. Define each type of sample: Probability Sample, Simple Random Sample.
LECTURE 15 THURSDAY, 15 OCTOBER STA 291 Fall
Probability Unit 4 - Statistics What is probability? Proportion of times any outcome of any random phenomenon would occur in a very long series of repetitions.
Probability & Statistics I IE 254 Exam I - Reminder  Reminder: Test 1 - June 21 (see syllabus) Chapters 1, 2, Appendix BI  HW Chapter 1 due Monday at.
Random Experiment Random Variable: Continuous, Discrete Sample Space: S Event: A, B, E Null Event Complement of an Event A’ Union of Events (either, or)
Daniel Meissner Nick Lauber Kaitlyn Stangl Lauren Desordi.
Chapter 12.1 Common Core – N.VM.6 Use matrices to represent and manipulate data to represent payoffs or incidence relationships in a network. Objectives.
1 STAT 500 – Statistics for Managers STAT 500 Statistics for Managers.
AP Review Day 2: Discrete Probability. Basic Probability Sample space = all possible outcomes P(A c ) = 1 – P(A) Probabilities have to be between 0 and.
LECTURE 14 TUESDAY, 13 OCTOBER STA 291 Fall
Appendix : Probability Theory Review Each outcome is a sample point. The collection of sample points is the sample space, S. Sample points can be aggregated.
Dr. Ahmed Abdelwahab Introduction for EE420. Probability Theory Probability theory is rooted in phenomena that can be modeled by an experiment with an.
Lecture PowerPoint Slides Basic Practice of Statistics 7 th Edition.
Basic Concepts of Probability CEE 431/ESS465. Basic Concepts of Probability Sample spaces and events Venn diagram  A Sample space,  Event, A.
Stats Probability Theory Summary. The sample Space, S The sample space, S, for a random phenomena is the set of all possible outcomes.
PROBABILITY, PROBABILITY RULES, AND CONDITIONAL PROBABILITY
Probability Basic Concepts Start with the Monty Hall puzzle
Probability You’ll probably like it!. Probability Definitions Probability assignment Complement, union, intersection of events Conditional probability.
12/7/20151 Math b Conditional Probability, Independency, Bayes Theorem.
1 Probability: Liklihood of occurrence; we know the population, and we predict the outcome or the sample. Statistics: We observe the sample and use the.
YMS Chapter 6 Probability: Foundations for Inference 6.1 – The Idea of Probability.
Probability Rules. We start with four basic rules of probability. They are simple, but you must know them. Rule 1: All probabilities are numbers between.
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) =
AP Statistics Semester One Review Part 2 Chapters 4-6 Semester One Review Part 2 Chapters 4-6.
AP Statistics Notes Chapter 14 and 15.
Chapter 4 Probability, Randomness, and Uncertainty.
+ Chapter 5 Overview 5.1 Introducing Probability 5.2 Combining Events 5.3 Conditional Probability 5.4 Counting Methods 1.
5.2 Day One Probability Rules. Learning Targets 1.I can describe a probability model for a chance process. 2.I can use basic probability rules, including.
STAT 104: Section 4 18 Oct, 2007 TF: Daniel Moon.
Honors Analysis.  Fundamental Counting Principle  Factorial Calculations (No Calculator!)  Permutation Calculation (No Calculator!)  Arrangement Problems.
Chapter 6 - Probability Math 22 Introductory Statistics.
STATISTICS 6.0 Conditional Probabilities “Conditional Probabilities”
BUSA Probability. Probability – the bedrock of randomness Definitions Random experiment – observing the close of the NYSE and the Nasdaq Sample.
Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Chapter 4 Probability.
Probability – the bedrock of randomness Definitions Random experiment – observing the close of the NYSE and the Nasdaq Sample space = {NYSE+Nasdaq+, NYSE+Nasdaq-,
Review Day 2 May 4 th Probability Events are independent if the outcome of one event does not influence the outcome of any other event Events are.
Conditional Probability 423/what-is-your-favorite-data-analysis-cartoon 1.
Section 5.1 and 5.2 Probability
Math a - Sample Space - Events - Definition of Probabilities
Unit 8 Probability.
Chapter 3 Probability.
Chapter 4 Probability.
Probability Models Section 6.2.
Probability Notes Math 309.
Probability Rules Rule 1.
Probability Notes Math 309.
Probability Notes Math 309 August 20.
Presentation transcript:

STAT 104: Section 4 27 Feb, 2008 TF: Daniel Moon

Agenda of Today Observational Study vs. Design of Experiment Population vs. Sample Probability Rules Bayes’ Rule

Observational Study vs. Experimental Design Collects information from individuals making no attempt to influence the responses Various ways to collect information Simple random sampling, stratified random sampling, multi-stage sampling Imposes an intervention on individuals in order to observe their responses 3 principles Control Randomization Repetition Observational Study Experimental Design

Population and Samples Population Sample Parameter Statistic

Bias and Variability Bias Distance of the center of the sampling distribution from the true parameter Variability Variance of the sampling distribution Size doesn’t matter!

Agenda of Today Observational Study vs. Experimental of Design Population vs. Sample Probability Rules Bayes’ Rule

Sample Space & Event Sample Space A set of all possible outcomes for an activity or experiment. Examples Event a set of outcomes (a subset of the sample space) to which a probability is assignedsetsubsetsample space P(Event) = |Event| / |Sample Space|

Probability Rules P(A  B) = P (A & B) – intersection P(A  B) = P (A or B) – union P (A  B) = P(A) + P(B) - P(A  B) 0 ≤ P(A  B) ≤ P(A) or P(B) ≤ P(A  B) ≤ P(A) + P(B) P(A  B) = P(A|B) x P(B)

Probability Rules If Mutually Exclusive P(A  B) = 0 P(A|B) = 0 P (A  B) = P(A) + P(B) If Independent P(A|B) = P(A) P(A  B) = P(A) x P(B)

Problems DJ Shuffle Combination: Order doesn’t matter! N choose K Permutation: Order matters! Line-up M&M’s Probability Distribution describes the values and probabilities that a random event can take placeprobabilitiesrandom event total probabilities must sum to exactly 1, or 100%sum

Bayes Rule

Find the iPod!!! What is the probability you picked up friend A’s iPod given the first song you listened was Rock? Friend A listens to, 30% Rock, 70% Ballads Friend B listens to, 80% Rock, 20% Ballads Given a 50% chance you picked up friend A or friend B’s ipods

Drug Testing Many staff are falsely worried by a positive TB test From Lecture Note 12