PPT-Warm-up as you walk in When does a probability table sum to 1?

            Announcements Assignments HW9 written Due Tue 42 10 pm Optional Probability online Midterm Mon 48 inclass Course Feedback See Piazza post for midsemester survey. To warm up walk slowly for a few minutes before picking up the pace Stretching gently at the end of your walk may help build 64258exibility Do not bounce or hold your breath when you stretch Do each stretch slowly and move only as far as you feel co Presented by Changqing Li. Mathematics. Probability. Statistics. What. . is a Random Walk?. An Intuitive understanding. : . A series of movement which direction and size are randomly decided (e.g., . Section 5.1 in your book…. A simulation is an imitation of chance behavior, most often carried out with random numbers.. Definition. Rolling a Die. Flipping a Coin. Random Number Table (refer to as Table D). Very much a work in progress. Manipulating CPTs. numericPart. Splits a mixed data frame into a numeric matrix. . and a factor part.. rescaleTable. Rescales the numeric part of the table. normalizeTable. and Semi-Supervised Learning. Longin Jan Latecki. Based on :. Xiaojin. Zhu. Semi-Supervised Learning with Graphs. PhD thesis. CMU-LTI-05-192, May 2005. Page, Lawrence and . Brin. , Sergey and . Motwani. 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:. In previous courses you studied probability, which is a measure of the chance that a particular event will occur.  In this section you solve probability problems that require you to analyze more complicated situations of chance.  The next two lessons focus on tools for listing . Draft slides. Background. Consider a social graph G=(V, E), where |V|= n and |E|= m . Girvan and Newman’s algorithm for community detection runs . in O(m. 2. n) time. , and . O(n. 2. ) space. .. The . Jog . Skip. Sprint. Gallop. Walk. Skip. High Knees. Sprint. Jog. Walk. Warm up complete . Theorem. Common fallacies of probability:. The . Gambler’s . Fallacy. Is assuming that the odds of a single truly random event are affected in any way by previous iterations of the same or other truly random event. Probability Terminology. Classical Interpretation. : Notion of probability based on equal likelihood of individual possibilities (coin toss has 1/2 chance of Heads, card draw has 4/52 chance of an Ace). Origins in games of chance.. Learning Goal. To practice and improve drawing skills. To get your brain ready for Art Class. To develop ideas for expression. To select materials, tools, and techniques in your work. Requirements. You must clearly label your paper in the upper right-hand corner with:. part two. Birthdays. You have a room with . n. people. What is the probability that at least two of them have a birthday on the . same day of the year. ?. Probability model. experiment outcome = birthdays of . This Slideshow was developed to accompany the textbook. Big Ideas Algebra 2. By Larson, R., Boswell. 2022 K12 (National Geographic/Cengage). Some examples and diagrams are taken from the textbook.. Slides created by .