PPT-Chapter 4 Describing Bivariate Numerical Data

Created by Kathy Fritz Forensic scientists must often estimate the age of an unidentified crime victim Prior to 2010 this was usually done by analyzing teeth and bones and the resulting estimates were not very reliable A study described in the paper Estimating Human Age from TCell DNA Rearrangements Current Biology 2010 examined the. and serializing structured data – A history and comparison of . approaches. John Larmouth. ITU-T and ISO/IEC ASN.1 Rapporteur. j.larmouth@btinternet.com. Terminology has changed over time. Markup. languages. IntroductionRecently,thetwo-parametergeneralizedexponential(GE)distributionproposedbyGuptaandKundu(1999)hasreceivedsomeattention.Thetwo-parameterGEdistribution,whichhasoneshapeparameter,andonescalepar iNZight. Statistics Teachers’ Day. 22 November 2012. Ross Parsonage. New AS 3.9 versus Old AS 3.5. Much less emphasis on calculations. More emphasis on:. Visual aspects. Linking statistical knowledge to the context. Slide #. 1. Bivariate EDA. Describe the . relationship between pairs of . variables. Four characteristics to describe. Association (Direction). Form. Outliers. Strength. Quantitative Bivariate EDA. Slide #. Uses data and statistical measures for a . v. ariety of purposes. Essential Question: . How can you summarize and display numerical data?. …is the process of collecting, organizing, and interpreting data. . Homework #2. Chapter 3 Problem 57. Car Auction. Each row of data indicates the make of vehicles sold at auction in the US in 2010. The data table describes 1,884 vehicles.. Problem 57(a). a. Using software, tabulate the frequencies of the makes of cars.. Homework #3. Chapter . 4 . Problem . 54. Cars. A column in this data file gives the engine displacement in liters of 509 vehicles sold in the United States. These vehicles are 2012 models, are not hybrids, have automatic transmissions, and lack turbochargers. Another column in this data file cars gives the rated combined fuel economy (in miles per gallon) for 509 vehicles sold in the United States.. October 21, 2014. Elizabeth Prom-Wormley & . Hermine. . Maes. ecpromwormle@vcu.edu. 804-828-8154. The Problem(s). BMI may not be an appropriate measure for use in studying the genetics of obesity. Chapter 2 Topics. . Visualizing variation in numerical and categorical data. Summarizing important features in numerical and categorical distributions. Visualizing variation in numerical data. Section 2.1. Statistical Questions. Statistical Questions. : ones that can be answered by collecting and analyzing . data. (pieces of information, can be numerical or categorical). Ex’s:. (a) What is the height of each . Describing Others AND MYSELF We have worked in the last two weeks on describing others. This lesson focuses in on the changes in pronouns and verb conjugations that take place in order to shift from describing someone else to describing oneself. The first descriptions on each slide are in the Data Analysis Module: Bivariate Testing Programming in R Data Analysis Module Basic Descriptive Statistics and Confidence Intervals Basic Visualizations Histograms Pie Charts Bar Charts Scatterplots Ttests approaches. John Larmouth. ITU-T and ISO/IEC ASN.1 Rapporteur. j.larmouth@btinternet.com. Terminology has changed over time. Markup. languages. Abstract. Syntax and Concrete Syntax. Abstract syntax notation and encodings. Getting StartedThe critical stage of any research study is always the start. It is important to specify a hypothesis that is testable and actually addresses the question you are interested in (see Cha