AP STATS Take your quiz on Section 6.2 (open notes and open textbook). HW will not be collected during this time. I will hand back your tests but I can.

Slides:



Advertisements
Similar presentations
Conditional Probability Target Goal: I can find the probability of a conditional event. 5.3b h.w: p 329: odd, 73, 83, 91 – 95 odd.
Advertisements

AP Statistics Section 6.3 B Conditional probability.
Unit 6 Probability & Simulation: the Study of randomness Simulation Probability Models General Probability Rules.
Section 3-3 The Addition Rule. Addition Rule – “or” The probability that A or B. One event Mutually Exclusive: P(A or B) = P(A) + P(B)
Probability Rules l Rule 1. The probability of any event (A) is a number between zero and one. 0 < P(A) < 1.
Chapter 15: Probability Rules!
Section 5.2 The Addition Rule and Complements
1 NA387 Lecture 6: Bayes’ Theorem, Independence Devore, Sections: 2.4 – 2.5.
AP STATISTICS: HW Review Start by reviewing your homework with the person sitting next to you. Make sure to particularly pay attention to the two problems.
© 2003 Prentice-Hall, Inc.Chap 4-1 Business Statistics: A First Course (3 rd Edition) Chapter 4 Basic Probability.
Section 2 Probability Rules – Compound Events Compound Event – an event that is expressed in terms of, or as a combination of, other events Events A.
A.P. STATISTICS LESSON 6.3 ( DAY 2 ) GENERAL PROBABILITY RULES ( EXTENDED MULTIPLICATION RULES )
AP Statistics Chapter 6 Notes. Probability Terms Random: Individual outcomes are uncertain, but there is a predictable distribution of outcomes in the.
Business Statistics: A First Course, 5e © 2009 Prentice-Hall, Inc. Chap 4-1 Chapter 4 Basic Probability Business Statistics: A First Course 5 th Edition.
Ch Counting Techniques Product Rule If the first element or object of an ordered pair can be used in n 1 ways, and for each of these n1 ways.
AP STATISTICS LESSON 6.3 (DAY 1) GENERAL PROBABILITY RULES.
Algebra II 10.4: Find Probabilities of Disjoint and Overlapping Events HW: HW: p.710 (8 – 38 even) Chapter 10 Test: Thursday.
12/7/20151 Math b Conditional Probability, Independency, Bayes Theorem.
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) =
Independent Events The occurrence (or non- occurrence) of one event does not change the probability that the other event will occur.
1.Review Ch 14 2.Ch 14 Partner Quiz 3.Notes on Ch 15 part 1 We will review conditional probability, then we will learn how to test for independence, and.
STATISTICS 6.0 Conditional Probabilities “Conditional Probabilities”
Massachusetts HIV-Testing Example Test Characteristics ELISA: wrong on 10% of infected samples wrong on 5% of uninfected samples Western Blot: wrong on.
Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Chapter 4 Probability.
Business Statistics: A First Course, 5e © 2009 Prentice-Hall, Inc. Chap 4-1 Chapter 4 Basic Probability Business Statistics: A First Course 5 th Edition.
Advanced Math Topics 5.2 Adding Probabilities of Events.
Statistics for Managers 5th Edition
Conditional Probability.  P ,67,68,69  P ,75,76,77,78.
Section 9-7 Probability of Multiple Events. Multiple Events When the occurrence of one event affects the probability of a second event the two events.
Key Concepts of the Probability Unit Simulation Probability rules Counting and tree diagrams Intersection (“and”): the multiplication rule, and independent.
Warm-up – for my history buffs…
Virtual University of Pakistan
Sample Spaces Collection of all possible outcomes
Warm-up Define the sample space of each of the following situations…
Chapter 3 Probability.
Section 5.4 Day 2.
Basic Business Statistics (8th Edition)
Probability Probability is a measure of how likely it is that an event will occur. Probability can be expressed as a fraction, decimal, or percent.
A Survey of Probability Concepts
9.3 Two-Way Tables Venn Diagrams and Probability for Two Events
Chapter 4 Probability.
Statistics 300: Introduction to Probability and Statistics
The Addition Rule.
12.4 Probability of Compound Events
Section 7.1 – Day 2.
Chapter 6: Probability: What are the Chances?
A Survey of Probability Concepts
STAT 203 Tree Diagrams and Bayes’ Rule
General Probability Rules
Advanced Placement Statistics
MATH 6/6+ – Monday, August 21 Objective: Agenda:
Conditional Probability AGENDA
Chapter 5: Probability: What are the Chances?
Lecture 12 Sections 5.3 Objectives: Conditional Probability Definition
Chapter 4 Basic Probability.
I can find probabilities of compound events.
MONDAY/TUESDAY SNOW DAYS.
Chapter 5: Probability: What are the Chances?
Homework Week of January 7th UNIT TEST TODAY! Monday Tuesday Wednesday
Learning Objectives By the end of this lecture, you should be able to:
Learning Objectives By the end of this lecture, you should be able to:
General Probability Rules
Monday, January 15th MLK Day No School Fill in Agenda with:
Probability Rules Rule 1.
Additive Rule/ Contingency Table
Chapter 3 Probability.
Chapter 3 Probability.
Chapter 5 – Probability Rules
Learning Objectives By the end of this lecture, you should be able to:
Learning Objectives By the end of this lecture, you should be able to:
Presentation transcript:

AP STATS Take your quiz on Section 6.2 (open notes and open textbook). HW will not be collected during this time. I will hand back your tests but I can not discuss the tests as one person has not taken the test yet.

Agenda: Today: Section 6.3 Tomorrow: Section 6.3 again Wednesday: Drop Thursday: Review Friday: Test on Chapter 6 Over the weekend: Read all of Chapter 7.

Video of the Day! Peter Donnelly

Probability (Union) P(A or B or C) P(A or B) = Not mutually exclusive

Example P(A) = 0.5 P(B) = 0.7 P(A and B) = 0.3

Conditional Probability P(A|B) Probability of an ace given that you have 4 cards in your hand and one of them is an ace.

General Multiplication Rule for any 2 events P(A and B) = P(A)P(B|A) Example: Slim is at the poker table. At the moment, he wants to have 2 diamonds in a row. As he sits at the tabke looking at his hand and at the upturned cards on the table, Slim sees 11 cards. Of these, 4 are diamonds. What is the probability of Slim drawing two diamonds

Conditional Probability Formula

What is the conditional probability that a grade at UNH is an A, given that it comes from a liberal arts course?

Bayes Theorem

Example 1: STD’s A MAN TESTS POSITIVE FOR A SEXUALLY TRANSMITTED DISEASE. THE TEST IS 98% ACCURATE. IF THE PREVALENCE OF THE DISEASE IN SOCIETY IS 1 IN EVERY 1,000, WHAT IS THE PROBABILITY THAT THE PERSON ACTUALLY HAS THE DISEASE?

EXAMPLE 2: BAGS SCREENED BAGS are screened at the PROVIDENCE airport. 78% of bags that contain a weapon will trigger an alarm. 14% of bags that do not contain a weapon will also trigger the alarm. If 1 out of every 1200 bags contains a weapon than what is the probability that a bag that triggers an alarm actually contains a weapon?

HW 6.72, 6.73, 6.74, 6.76, 6.77, 6.82