PPT-Exploratory Data Analysis and Multivariate Strategies

Andrew Mead School of Life Sciences Multi approaches in statistics Multiple comparison tests Multiple testing adjustments Methods for adjusting the significance levels when doing a large number of tests comparisons between treatments within a single analyses. An Introduction &. Multidimensional Contingency Tables. What Are Multivariate Stats?. . Univariate = one variable (mean). Bivariate = two variables (Pearson . r. ). Multivariate = three or more variables simultaneously analyzed . Introduction Mapping of multivariate data low-dimensional manifolds for visual in- spection is a commonly used technique in data analysis. The discovery of mappings that reveal the salient features of Two Proposals from the Academic Standards Committee, October 2014. Genesis of the Proposals & Proposal Development Process. The 2013-2018 Auburn University Strategic Plan establishes promoting academic success as its first priority. It includes the following:. Exploratory . Dialogue. Rebecca . Ferguson . @. R3beccaF. Simon Buckingham . Shum . @. sbskmi. Learning Analytics and Knowledge 2011, Banff. SocialLearn . Project. The . Open University, UK. www.open.ac.uk/sociallearn. TO. . Machine . Learning. 3rd Edition. ETHEM ALPAYDIN. . Modified by Prof. Carolina Ruiz. © The MIT Press, 2014. . for CS539 Machine Learning at WPI. alpaydin@boun.edu.tr. http://www.cmpe.boun.edu.tr/~ethem/i2ml3e. Chapter . 3, Student Edition. MR/Brown & Suter. 1. Learning Objectives. MR/Brown & Suter. 2. Describe the major emphasis of each of the three basic types of research design. Describe the key characteristics and basic uses of exploratory research. Xi Chen. Machine Learning Department. Carnegie Mellon University. (joint work with . Han Liu. ). . Content. Experimental Results. Statistical Property . Multivariate Regression and Dyadic Regression Tree. Summer 2015. True or false?. A student’s college major determines her or his career path. False!. Got Evidence?. 2006 Study. 80,574 students - 87 colleges - 5 years. Good grades closely related to having a major close to one’s . Implications for Practice. kai.petersen@bth.se. Exploratory. testing. Definition. How it is . used in industry. How it performs in . comparison . with . scripted testing. Implications . for practice. Semi-supervised Learning in the presence of unanticipated . c. lasses. Bhavana Dalvi . , William W. Cohen , Jamie Callan. School Of Computer Science. , . Carnegie Mellon University. . Motivation. Extending existing SSL methods. Stephen Taylor. Department of Economics, Stellenbosch University. PSPPD Project – April 2011. Motivation (the problem). Low quality education a poverty trap to many children in historically disadvantaged schools. CSCI N207 Data Analysis Using Spreadsheet. Lingma Acheson. linglu@iupui.edu. Department of Computer and Information Science, IUPUI. Multivariate Data Analysis. Univariate. data analysis. concerned itself with describing an entity using a single variable.. Jim Trentadue. Software Quality Consulting Director. Original Software. jtrentadue@origsoft.com. Agenda. 2. What drives ET. 3. Good automation practice with ET . 4. 5. Case Study. Enabling Test Automation for ET . WHAT IS AN EXPLORATORY LAPAROTOMY?. An exploratory laparotomy is a minimally invasive surgical procedure involving the opening of the abdominal cavity and examination of the abdominal organs. It is used in for the diagnosis of intra-abdominal diseases through direct inspection of intra-abdominal organs as well as pelvic organs. .