PPT-Chapter 3: Displaying and Describing Categorical Data

Think Show Tell THINK first Know where youre headed and why SHOW Heres where we do the mechanics of statistics TELL what you learned Explain your results so someone else can understand your conclusions. 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 96 CI SE 196 Expressed as a range around the percent 42 40 44 42 2 The range contains the average va lue of the percent which would result if all possible samples were used A 95 CI suggests that if 100 samples were drawn the average value of the 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. . 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.. 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. 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. 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. 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 . 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...