PPT-Univariate

EDA Quantitative Univariate EDA Slide 2 Exploratory Data Analysis Univariate EDA Describe the distribution Distribution is concerned with what values a variable takes and how often it takes each value. Bilenas JP Morgan Chase Bank Wilmington DE ABSTRACT In direct marketing applications prospects are often ra nked by scores that predict response risk andor profit abili ty Justification is to evaluate lifts in performance by soliciting the most prof 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 Emura. , Chen & Chen [ 2012, . PLoS. ONE 7(10) ] . Takeshi . Emura. (NCU). Joint work with Dr. Yi-. Hau. Chen and Dr. . Hsuan. -Yu Chen (. Sinica. ). 國立東華大學 應用數學系. 1. 2013/5/17. Slide #. 1. Univariate EDA. Purpose – describe the distribution. Distribution . is concerned with what values a variable takes and how often it takes each value. Four characteristics. Shape. Outliers. Slide #. 1. Univariate EDA. Purpose – describe the distribution. Distribution . is concerned with what values a variable takes and how often it takes each value. Quantitative vs. . Categorical. Do . Phillip Keung. Background. Primary biliary cirrhosis of the liver (PBC) is a rare but fatal chronic liver disease of unknown cause, with a prevalence of about 50-cases-per-million population. The primary pathologic event appears to be the destruction of interlobular bile ducts, which may be mediated by immunologic mechanisms. The data are important in two respects. First, controlled clinical trials are difficult to complete in rare diseases, and this case series of patients uniformly diagnosed, treated, and followed is the largest existing for PBC. Second, the data present an opportunity to study the natural history of disease.. . modeling. Sarah . Medland. Starting at the beginning…. Data preparation. The algebra style used in . Mx. expects 1 line per case/family . (Almost) limitless number of families and variables. Missing data . Pieter . Abbeel. UC Berkeley EECS. Many . slides adapted from . Thrun. , . Burgard. and Fox, Probabilistic Robotics. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . John Hancock Financial Services. What Is An Actuary?. “Actuaries are highly sought-after professionals who develop and communicate solutions for complex financial issues.”. What Do Actuaries Do?. A DUTCH POPULATION BASED STUDY. Myrella Vlenterie. , SEJ Kaal, VKY Ho, R Vlenterie, WTA van der Graaf. Medical. . Oncology. , Radboud . University. . Medical. Centre, Nijmegen . Literature. Literature. Xiangqin. . Cui, PhD. UAB Metabolomics Workshop. December 2, 2015. Select MS peak list option and then load the .zip file. Data . options before stats analysis. Effect of normalization, mean centering and . : . Using Microsoft Excel for . Univariate. and Bivariate Analysis. Alfred P. Rovai. The Normal Curve and . Univariate. Normality. PowerPoint Prepared by . Alfred P. Rovai. Presentation . © . 2015 by Alfred P. Rovai. AP Statistics Chapter 1 - Review 2013 Mrs. White AP ExamTopic Outline Topic Exam Percentage Exploring Data 20%-30% Sampling & Experimentation 10%-15% Anticipating Patterns 20%-30% Statistical Inference Background. Primary biliary cirrhosis of the liver (PBC) is a rare but fatal chronic liver disease of unknown cause, with a prevalence of about 50-cases-per-million population. The primary pathologic event appears to be the destruction of interlobular bile ducts, which may be mediated by immunologic mechanisms. The data are important in two respects. First, controlled clinical trials are difficult to complete in rare diseases, and this case series of patients uniformly diagnosed, treated, and followed is the largest existing for PBC. Second, the data present an opportunity to study the natural history of disease..