PPT-Conditional Probability
Author : jane-oiler | Published Date : 2016-08-01
AS91585 The language of probability questions Section One The question Do you smoke was asked of 100 people Yes No Total Male 19 41 60 Female 12 28 40 Total 31
Presentation Embed Code
Download Presentation
Download Presentation The PPT/PDF document "Conditional Probability" is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Conditional Probability: Transcript
AS91585 The language of probability questions Section One The question Do you smoke was asked of 100 people Yes No Total Male 19 41 60 Female 12 28 40 Total 31 69 100 The results are shown in the table. A brief digression back to . joint probability: . i.e. . both events . O. . and. . H. occur. . . Again, we can express joint probability in terms of their separate conditional and unconditional probabilities. and Independence . in the Common Core. CMC Annual Conference. Palm Springs, CA. November, 2013. . Josh Tabor. Canyon del Oro High School. joshtabor@hotmail.com. From the . Common Core State Standards. : Statistics in Earth & Atmospheric Sciences. Lecture 1: Review of Probability. Instructor: Prof. Johnny Luo. www.sci.ccny.cuny.edu/~luo. Outlines. Definition of terms. Three Axioms of Probability. Hubarth. Algebra II. Conditional probability . contain a condition that may limit the sample space for an event. You . can write a conditional probability using the notation P(B|A), read “ the probability of event B,. Objectives:. By the end of this section, I will be. able to…. Calculate conditional probabilities.. Recognize the difference between sampling with replacement and sampling without replacement.. CONDITIONAL PROBABILITY:. Coins game. Toss 3 coins. You win if . at least two . come out heads. S. = { . HHH. , . HHT. , . HTH. , . HTT. , . T. HH. , . T. HT. , . T. TH. , . T. TT. }. equally likely outcomes. W. = { . HHH. and Independence . in the Common Core. CMC Annual Conference. Palm Springs, CA. November, 2013. . Josh Tabor. Canyon del Oro High School. joshtabor@hotmail.com. From the . Common Core State Standards. Chapter 13. Uncertainty in the World. An agent can often be uncertain about the state of the world/domain since there is often ambiguity and uncertainty. Plausible/. probabilistic inference. I’ve got this evidence; what’s the chance that this conclusion is true?. Conditional Probability. Conditional Probability: . A probability where a certain prerequisite condition has already been met.. Conditional Probability Notation. The probability of Event A, given that Event B has already occurred, is expressed as P(A | B).. Miles. Jones. MTThF. 8:30-9:50am. CSE 4140. August 29, 2016. The Monty Hall Puzzle. What's the player's best strategy?. Always swap. B. Always stay. C. Doesn't matter, it's 50/50.. Car hidden behind one of three doors.. . . . . . . . . . . . . Announcements. Assignments:. HW9 (written). Due Tue 4/2, 10 pm. Optional Probability (online). Midterm:. Mon 4/8, in-class. Course Feedback:. See Piazza post for mid-semester survey. Coins game. Toss 3 coins. You win if . at least two . come out heads.. S. = { . HHH. , . HHT. , . HTH. , . HTT. , . THH. , . THT. , . TTH. , . TTT. }. W. = { . HHH. , . HHT. , . HTH. , . THH. }. Coins game. Bayes. and Independence. Computer Science cpsc322, Lecture 25. (Textbook . Chpt. . 6.1.3.1-2). Nov, 5, 2012. Lecture Overview. Recap Semantics of Probability. Marginalization. Conditional Probability. * Figures are from the . textbook site. .. II. Naïve Bayes model. III. Revisiting the . wumpus. world. I. Combining Evidence. What happens when we have two or more pieces of evidences?. . Suppose we know the full joint distribution..
Download Document
Here is the link to download the presentation.
"Conditional Probability"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.
Related Documents