PPT-Exploratory Analysis Categorical Variable Categorical Variables
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1 STAT 101Exploratory Data Analysis I12512 One Categorical Variable Two Categorical Variables One Quantitative Variable CenterSection 21 22Professor Kari Lock MorganDuke
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Exploratory Analysis Categorical Variable Categorical Variables: Transcript
1 STAT 101Exploratory Data Analysis I12512 One Categorical Variable Two Categorical Variables One Quantitative Variable CenterSection 21 22Professor Kari Lock MorganDuke University2 AnnouncementsTextbooks are hereMy office hours Old. STA 200 . Summer I . 2011. Data Tables. One way to organize data is to create a data table.. Good data tables have:. a clear heading. clearly labeled variables. rates instead of (or supplemental to) counts. Unit 1 – Day 1 Preliminaries. Introductions/ roll . (any peanut allergies?). Textbooks. Course expectations/ student info. Course format. How to be successful. Honor Code. Lesson Objectives. At the end of the lesson, students can:. 250. : . Introduction to Biostatistics. Kari Lock Morgan. klm47@psu.edu. . Biology Education Core Competencies. (. Vision and Change. , 2011). 1. . Ability to apply . the process of science. : . Biology is . 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. . Distinguish between:. - A statistic and a parameter. - A categorical and a quantitative variable. - A response and an explanatory . variable. Identify:. - When a categorical variable is ordinal. - When a quantitative variable is continuous. 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. Variables: The. Chi-Square . Test. Lecture PowerPoint Slides. Basic Practice of Statistics. 7. th. Edition. In Chapter 25, We . C. over …. Two-way tables. The problem of multiple comparisons. Expected counts in two-way tables. What is Statistics?. The science of collecting, organizing, and interpreting numerical facts, which we call data. Data (def.) – the numbers or information collected in a study or experiment.. How is collect data. 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. 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. Lesson 2.1. Relationships Between Two. Categorical . Variables. 2. Distinguish between explanatory and response variables for categorical data.. Make . a segmented bar chart to display the relationship between two categorical variables..
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