PPT-Previous Lecture: Probability

Introduction to Biostatistics and Bioinformatics Sequence Alignment Concepts This Lecture Sequence Alignment Stuart M Brown PhD Center for Health Informatics and Bioinformatics NYU School of Medicine. Contents page Contents page Previous page Previous page Previous page Understanding childhood immunisation D10550 December 2013 All information in this publication is correct at December 2013 Understa 1. Intelligent Systems (AI-2). Computer Science . cpsc422. , Lecture . 10. Sep, 29. , 2017. CPSC 422, Lecture 10. 2. Lecture Overview. Finish Reinforcement learning. Exploration vs. Exploitation. On-policy Learning (SARSA). calculus. 1 ≥ . Pr. (h) ≥ 0. If e deductively implies h, then Pr(h|e) = 1. .. (disjunction rule) If h and g are mutually exclusive, then . Pr. (h or g) = . Pr. (h) . Pr. (g). (disjunction rule) If h and g are . 3.1 . The Concept of Probability. 3.2 . Sample Spaces and Events. 3.3 . Some Elementary Probability Rules. 3.4 . Conditional Probability and Independence. 3.5 . Bayes’ Theorem. 3-. 2. Probability Concepts. What we learned last class…. We are not good at recognizing/dealing with randomness. Our “random” coin flip results weren’t streaky enough.. If B/G results behave like independent coin flips, we know how many families to EXPECT with 0,1,2,3,4 girls.. Probability is used all of the time in real life. Gambling . Sports. Weather. Insurance. Medical Decisions. Standardized Tests. And others. Definition of Probability. “The . likelihood of something . Slide . 2. Probability - Terminology. Events are the . number. of possible outcome of a phenomenon such as the roll of a die or a fillip of a coin.. “trials” are a coin flip or die roll. Slide . 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 . A value between zero and one that describe the relative possibility(change or likelihood) an event occurs.. The MEF announces that in 2012 the change Cambodia economic growth rate is equal to 7% is 80%.. Chapter 4: Probability: The Study of Randomness Lecture Presentation Slides Macmillan Learning © 2017 Chapter 4 Probability: The Study of Randomness 4.1 Randomness 4.2 Probability Models 4.3 Random Variables Main Page Previous Next EXPANSION Units 5–8 1 Language Review 1. A: Where ________ you yesterday? B: I ________ at school. A: No, you ________. You ________ at the mall. 2. A: Mike ________ the best student in the class. MatLab. Lecture 4:. Multivariate Distributions. . Lecture 01. . Using . MatLab. Lecture 02 Looking At Data. Lecture 03. . Probability and Measurement Error. . Lecture 04. . Multivariate Distributions. calculus. 1 ≥ . Pr. (h) ≥ 0. If e deductively implies h, then Pr(h|e) = 1. .. (disjunction rule) If h and g are mutually exclusive, then . Pr. (h or g) = . Pr. (h) + . Pr. (g). (disjunction rule) If h and g are . Introduction to Biostatistics and Bioinformatics. Distributions. This Lecture. By Judy Zhong. Assistant Professor. Division of Biostatistics. Department of Population Health. Judy.zhong@nyumc.org. Introduction.