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. STA431: Spring 2013. See last slide for copyright information. Factor Analysis: The Measurement Model. D. 1. D. 8. D. 7. D. 6. D. 5. D. 4. D. 3. D. 2. F. 1. F. 2. Example with 2 factors and 8 observed variables. Summer 2015. True or false?. A student’s college major determines her or his career path. False!. Got Evidence?. 2006 Study. 80,574 students - 87 colleges - 5 years. Good grades closely related to having a major close to one’s . 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:. Daniel Bush, DPI School Financial Services. WASBO Accounting Conference. March 16, 2016. Targeted purpose. Outside revenue limit. Offsets shared cost. Usually “sum-certain,” often prorated. Three broad types. 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. Remark: covers Chapter 3 of the Tan book in Part. Organization. Why Exloratory Data Analysis?. Summary Statistics. Visualization. 1. Why Data Exploration?. Key motivations of data exploration include. STA431: Spring . 2015. See last slide for copyright information. Factor Analysis: The Measurement Model. D. 1. D. 8. D. 7. D. 6. D. 5. D. 4. D. 3. D. 2. F. 1. F. 2. Example with 2 factors and 8 observed variables. 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. Michia. Burnett & . Latai. Wiggins. What Task Does The Robot Performs ?. The Exploratory Robot Are Used In Situations That Are Not Safe For A Situation . That Can Harm Humans . They . Can Only Do Basic Tasks Such As Jump , Roll , & Run .. 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. Instrumental variables IVs are used to control for confounding and measurement error in ssibility of making causal inferences with observational data Like propensity scores IVconfounding effects Other WHAT IS AN EXPLORATORY LAPAROTOMY?. An exploratory laparotomy is a minimally invasive surgical procedure involving the opening of the abdominal cavity and examination of the abdominal organs. It is used in for the diagnosis of intra-abdominal diseases through direct inspection of intra-abdominal organs as well as pelvic organs. . Usually the “If” part of your hypothesis. What you test or change in your investigation. Found on the X-axis. Dependent variable. Usually then “Then” part of your hypothesis. What you are measuring.

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