PPT-Strategies for Identifying Outliers

and Managing Missing Data R Michael Haynes PhD rhaynestarletonedu Tarleton State University A PRIORI MARCH 1 2012 Assistant Vice President for Student Life Studies POST HOC FEBRUARY 29 2012. regression models, the outliers can affect the estimated correlation coefficient [10]. Presence of outliers in training and testing data can bring about several difficulties for methods of decision- k. -center clustering. Ilya Razenshteyn (MIT). Silvio . Lattanzi. (Google), Stefano . Leonardi. (. Sapienza. University of Rome) and . Vahab. . Mirrokni. (Google). k. -Center clustering. Given:. us, the purpose of this study is to identify groups of similar game moves. By identifying these move groups, we can characterize an opponent by knowing the group of moves that uses most. The goals of 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.. Identifying Outliers: More about this interpolation stuff..... Whenever the depth of a median or a fourth is a decimal (??.5), then you must interpolate. That is, you must find thevalue of the Jimmy Johansson, Patric Ljung, Mikael Jern, Matthew Cooper . NVIS- Norrkoping Visualization and Interaction Studio, Linkoping University, Sweden . Presented by . Xinyu. . Chang. Kent State University. Validating and Preparing your data. Lyytinen & Gaskin . Data Screening. Data screening . (also known for us as “data screaming”) ensures . your data is . “clean” . and ready to go before you conduct . 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. Olivier . Dupriez. World Bank, Development Data Group. odupriez@worldbank.org. 6 June 2013. Initial objective. Calculate poverty PPPs. Had price data at basic heading level from the ICP ; needed consumption shares “at the poverty line” for the same breakdown to be used as weights.. Practices and Products that . Move AfL . Forward. Kristen Clarke. Instructional Coordinator, . Assessment. Peel District School Board. #AssessPeel. @. Kristen__Clarke. 2. Reflection and Personal Notes. Presenter . Information . Here>. Differing points of view.... “It’s a dangerous job. If you’re not getting hurt, you must not be doing much work.”. “You can’t do that, it’s not safe.”. 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. Member of the Motivational Interviewing Network of Trainers. Cultivating Change Talk . Part 2. www.formativeoutcomes.com. Goal of Today’s Webinar: Review and deepen understanding of Change Talk….