PPT-Lecture notes 10a: Inference for categorical variables

Author : faustina-dinatale | Published Date : 2018-09-21

1 Outline The contingency table Independence and dependence Hypothesis test for independence The chisquare distribution The expected table The test statistic Worked

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Lecture notes 10a: Inference for categorical variables: Transcript


1 Outline The contingency table Independence and dependence Hypothesis test for independence The chisquare distribution The expected table The test statistic Worked example Categorical variables. Slide . 1. <. p>Sample . <b>bold</b> display</p>. P. B. #text. #text. nextSibling. prevSibling. nextSibling. prevSibling. firstChild. lastChild. parentNode. parentNode. parentNode. 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). Slide . 1. <. p>Sample . <b>bold</b> display</p>. P. B. #text. #text. nextSibling. prevSibling. nextSibling. prevSibling. firstChild. lastChild. parentNode. parentNode. parentNode. 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. . Slide . 1. CSS Rule. body {. font-family: Tahoma, Arial, sans-serif;. color: black;. background: white;. margin: 8px;. }. Selector. Declaration. Block. Attribute Name. Value. CS 142 Lecture Notes: CSS. 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. Slide . 1. <p> Sample <b>bold</b> display</p>. P. B. #text. #text. nextSibling. prevSibling. nextSibling. prevSibling. firstChild. lastChild. parentNode. parentNode. parentNode. 1. Outline:. The contingency table. Independence and dependence. Hypothesis test for independence. The chi-square distribution. The “expected” table. The test statistic. Worked example. Categorical 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. 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. 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. 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...

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