PPT-Understand conditional probability.

Understand concept of independence Know how and when to apply General Addition Rule Know how and when to apply General Multiplication Rule AP Statistics Objectives Ch15 Know how to find probabilities for compound events. Yilin. Wang. 11/5/2009. Background. Labeling Problem. Labeling: Observed data set (X) Label set (L). Inferring the labels of the data points. Most vision problems can be posed as labeling problems. Page 303. Avancemos. 3. The Conditional Tense. Frequently, the conditional is used to express probability, possibility, wonder or conjecture of PAST actions, and is usually translated as . would, could, must have or probably. If . it is noon in Georgia. ,. then . it is . 9. . A.M.. in California. .. hypothesis. conclusion. In this lesson you will study a type of logical statement called a . conditional statement. . A conditional statement has two parts, a . : 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. 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:. ESL 11B. Uncertain events & situations . In clauses after “if”, we usually talk about uncertain events & situations. If I see Annie, I will give her your message.. . (I may or may not see Annie.). : . Improving. Patient Outcomes. Neil K. Sanghvi, M.D., F.A.C.C.,. F.H.R.S.. Cardiac Electrophysiology. Jacksonville, FL. Office: 904-423-0010. Disclosures. Received honoraria and travel expenses from . 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. FIRST CONDITIONAL. We. use . the. . first. . conditional. . to. . speak. . about. a . possible. . present. . or. . future. . situation. and . its. . results. :. "If you are getting bored, I´ll change the subject". We know how . to . solve . probability . problems involving rolling . of 2 dice.. MATH 110 Sec 13-3 Lecture: Conditional Probability and Intersection of Events . We know how . to . solve . probability . Sixth Edition. Douglas C. Montgomery George C. . Runger. Chapter 2 Title and Outline. 2. 2. Probability. 2-1 Sample Spaces and Events . 2-1.1 Random Experiments. 2-1.2 Sample Spaces . I . toss a penny and observe whether it lands heads up or tails up. Suppose the penny is fair, i.e., the probability of heads is 1/2 and the probability of tails is 1/2. This means. a. . every . occurrence of a head must be balanced by a tail in one of the next two or three tosses.. .  . .  . .  . .  . .  . .  . 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.