PPT-Graphing outliers

Big thanks to the OTW organisers and companies supporting it Eric Grancher CERN IT 1 Documents at https indicocernchevent459090 Outliers matter 2 Human perception personal. k. -center clustering. Ilya Razenshteyn (MIT). Silvio . Lattanzi. (Google), Stefano . Leonardi. (. Sapienza. University of Rome) and . Vahab. . Mirrokni. (Google). k. -Center clustering. Given:. Data Analysis & Computers II. Slide . 1. Detecting Outliers. Detecting univariate outliers. Detecting multivariate outliers. SW388R7. Data Analysis & Computers II. Slide . 2. Outliers. Outliers are cases that have data values that are very different from the data values for the majority of cases in the data set.. Alg. 2. Mr. Carpenter. BEWARE!!!… . QUIZ . AFTER. System of Inequalities. The . ONLY. difference between a system of . EQUATIONS. and a system of . INEQUALITIES. is that the equations have an “=“ sign and inequalities have “≥, <, >, or ≤.” Which means that… . What is an outlier?. Sometimes, distributions are characterized by extreme values that differ greatly from the other observations. These extreme values are called outliers. . How do you know if a data point is an outlier?. Technology in My Classes. ?. 1. (Session W27). James W. Hall . Parkland College (Retired). jhall@wbhsi.net. Brian A. Mercer. Parkland College. bmercer@parkland.edu. James W. Hall. . Sun Lakes, Arizona. Jobs using . Mantri. Ganesh Ananthanarayanan. †. , Srikanth Kandula*, Albert Greenberg*, Ion Stoica. †. , Yi Lu*, Bikas Saha*, Ed Harris*. . †. UC Berkeley * . Microsoft. 1. MapReduce Jobs. Jimmy Johansson, Patric Ljung, Mikael Jern, Matthew Cooper . NVIS- Norrkoping Visualization and Interaction Studio, Linkoping University, Sweden . Presented by . Xinyu. . Chang. Kent State University. University of Michigan – Dearborn Science Learning Center. Based on a presentation by James . Golen. Revised by Annette . Sieg. …. Introduction. Before using this module you must already understand the basics of graphing (e.g., identifying dependent and independent variables, plotting data points). . The Story of Success. By Malcolm Gladwell . What is an Outlier?. out-li-. er. . (n.). 1. something that is situated away from or classed differently from a main or related body. . 2. a statistical observation that is markedly different in value from the others of the sample. . The Practice of Statistics in the Life Sciences. Third Edition. © . 2014 . W.H. Freeman and Company. Objectives (PSLS . Chapter . 2). Describing distributions with numbers. Measure of center: mean and median. Lesson 2: One-Step Inequalities. Cornell Notes Header. Topic:. . Inequalities . & Two-Step Equations (Unit 7 pg. 2). E.Q.: . How. are one-step equations similar and different than one-step inequalities?. Section 1.2. Displaying Quantitative Data with Graphs. After this section, you should be able to…. CONSTRUCT and INTERPRET dotplots, stemplots, and histograms. DESCRIBE the shape of a distribution. Lecture Notes for Chapter 10. Introduction to Data Mining. by. Tan, Steinbach, Kumar. New slides have been added and the original slides have been significantly modified by . Christoph F. . Eick. Lecture Organization . Scientist interpret tables, graphs, and diagrams to locate data, examine relationships in the data, and extend those relationships beyond the data.. Reading graphs can be like reading a foreign language though. It come easy to some and very difficult to others..