PPT-Chapter 5: Association between Categorical Variables

Homework 4 Chapter 5 Problem 39 Gasoline sales A service station near an interstate highway sells three grades of gasoline regular plus and premium During the last week the manager counted the number of cars that purchased these types of gasoline He kept the counts separate for weekdays and the weekend The data table has two categorical variables One distinguishes weekdays from weekends and the other indicates the type of gas regular plus or premium. Scatterplots, Association, and Correlation. Objective. : To look for relationships between two quantitative variables. Scatterplots. Scatterplots. . may be the most common and most effective display for data. . 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. 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. Dr . Siti. . Azrin. . Binti. . Ab. . Hamid. Unit Biostatistics and Research Methodology. Types of categorical analysis. Steps to analysis. Outline . Dependent variable. Independent variable. Number of groups. 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. Fourth Edition. Chapter . 3: . Relationships:. . Scatterplots . and correlation. Copyright © 2018 W. H. Freeman and . Company. Objectives. Relationships: Scatterplots and . correlation. Bivariate 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.. Inference for a Single Proportion (. p. ). Goal: Estimate proportion of individuals in a population with a certain characteristic (. p. ). This is equivalent to estimating a binomial probability. Sample: Take a SRS of . 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...