PPT-Outliers #1

Claim amp Purpose Prologue amp Chapter 1 2 Claim People are considered successful when they express particular traits and characteristics diligence selfsacrifice intelligence. OUTLIER FORMULAS. BOX PLOTS. HISTOGRAMS. DESCRIBING A DISTRIBUTION (C.U.S.S.). STANDARD DEVIATION AND VARIANCE. Create a Box Plot of this data.. We need the 5# summary, which consists of the min,Q1,Med,Q3, max. 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.. and Managing Missing Data. R. Michael Haynes, PhD. . rhaynes@tarleton.edu. Tarleton State University. A PRIORI MARCH 1, 2012. Assistant Vice President for Student Life Studies. POST HOC FEBRUARY 29, 2012. 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. 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 . Population structure . in case-control studies. Population consists of underlying subpopulations.. Disease prevalence different between subpopulations.. Cases preferentially ascertained from specific subpopulations.. Roger Butlin. University of Sheffield. Nielsen R. . (2005) Molecular signatures of natural selection. . . Annu. . Rev. Genet. . 39, 197–218.. What signatures does selection leave in the genome?. Population differentiation – today’s focus!. 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. . Jobs using . Mantri. Ganesh Ananthanarayanan. †. , Srikanth Kandula*, Albert Greenberg*, Ion Stoica. †. , Yi Lu*, Bikas Saha*, Ed Harris*. . †. UC Berkeley * . Microsoft. 1. MapReduce Jobs. 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. 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. V2: . data imputation . V3: batch effects. What is measured by microarrays?. Microarray normalization. Differential gene expression (DE) analysis based on microarray data. Detection of outliers. RNAseq. Progress Report. Rumana Riffat. Vice Provost for Faculty Affairs. Professor of Civil & Environmental Engineering. March 1, 2024. Office of the Provost. Origins: The Salary Equity Committee was first established and administered by VP for...