PPT-Chapter 1 Introduction & 1.1: Analyzing Categorical Data

Introduction Data Analysis Making Sense of Data After this section you should be able to DEFINE Individuals and Variables DISTINGUISH between Categorical and Quantitative variables. ca Abstract Categorical datafrequency data and discrete dataare most of ten presented in tables and analyses using loglinear models and logistic regression are most often presented in terms of parame ter estimates Over the past decade I and others ha Deductive Arguments: . Categorical Logic. Chapter 7. This chapter focuses on the G (good grounds) condition of ARG and deals with simple deductive arguments.. Deductive Relationships. One statement deductively entails another if and only if it is impossible for the second one to be false, given that the first one is true. (page 178). Jamal . Alsakran. The University of Jordan. Xiaoke. Huang, . Ye . Zhao. Kent State University. Jing . Yang. UNC . Charlotte. Karl . Fast. Kent State University. Categorical . Datasets. Generated in a large variety of applications. 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.. Categorical data. Some variables are inherently categorical, for example:. Sex. Race. Occupation. Other categorical variables are created by grouping values of a quantitative variable into classes. . Introduction; Displaying Distributions with Graphs. Statistics is... The science of data.. We begin our study of statistics by mastering the art of . examining data. Any set of data contains information about some group of individuals, organized by variables. . Section 1.1. Analyzing Categorical Data. The Practice of Statistics, 4. th. edition - For AP*. STARNES, YATES, MOORE. Chapter 1. Exploring Data. Introduction. :. . Data Analysis: Making Sense of Data. Professor Kari Lock Morgan. kari@stat.duke.edu. . Course Website:. http://stat.duke.edu/courses/Fall12/sta101.002/. Sakai:. https://sakai.duke.edu/portal/site/STAT101_Fall12. Course Website. Syllabus. Chapter 1 Topics. . Introduction to data and data types. Classifying, collecting, organizing, and storing data. Case Study. Case:. Who: Dr. . Christopher . Newman. What: Sued . Motorola, Verizon, and other wireless . Find and interpret marginal and conditional distributions for 2 Categorical Variables. Determine if 2 Categorical Variables have a possible association. AP Statistics Objectives Ch3. frequency table. ANALYZING ARGUMENTS. Arguments can be analyzed, once recognized, by paraphrasing them or by . diagramming them. . . Paraphrasing . involves setting forth the argument in a clear and precise form. . Excercises. th. edition - For AP*. STARNES, YATES, MOORE. Chapter 1: Exploring Data. Introduction. Data Analysis: Making Sense of Data. Chapter 1. Exploring Data. Introduction. :. . Data Analysis: Making Sense of Data. Objectives. Students will be able to:. Graph categorical data. Model athletic . PERFORMANCE. Use technology to simulate athletic . PERFORMANCE. Graphing Calculator. https://www.youtube.com/watch?v=ilL9FoTUQqw. 1. STAT 101Exploratory Data Analysis I1/25/12 One Categorical Variable Two Categorical Variables One Quantitative Variable – CenterSection 2.1, 2.2Professor Kari Lock MorganDuke University2. AnnouncementsTextbooks are here!My office hours: (Old...