'Categorical variable' diaporamas de présentation

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Section 2-4

Section 2-4 . Other types of graphs. Pareto chart time series graph pie graph. Pareto Chart. Used to represent a frequency distribution for a categorical variable, and the frequencies displayed by the heights of vertical bars, which are arranged in order from highest to lowest.

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Chapter 1: Exploring Data

Please have out on your desk: Pencil Warm-up Student Planner (where you write your HW). Chapter 1: Exploring Data. Section 1.1 Analyzing Categorical Data. The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE. Student Planner. AP Stats. Warm Up.

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Multiple Regression III 4/16/12

Multiple Regression III 4/16/12. More on categorical variables Missing data Variable Selection Stepwise Regression Confounding variables. Not in book. Professor Kari Lock Morgan Duke University. To Do. Project 2 Presentation (Thursday, 4/19) Project 2 Paper (Wednesday, 4/25).

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Chapter 2

Chapter 2. FOCUS QUESTION: WHAT ARE DATA?. Objectives:. Data Individuals Population Sample Variables Categorical (or qualitative) Quantitative. Data. Definition Data: (latin for fact) Characteristics or numbers that are collected by observation. Data are numbers with context.

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Five Variable Situations

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Linear Discriminant Analysis and Logistic Regression

Linear Discriminant Analysis and Logistic Regression. Background. Linear Discriminant Analysis predicts a categorical variable based on one or more metric independent variables. Example.

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Linear Discriminant Analysis and Logistic Regression

Linear Discriminant Analysis and Logistic Regression. Background. Linear Discriminant Analysis predicts a categorical variable based on one or more metric independent variables. Example.

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The t distribution and the independent sample t-test

The t distribution and the independent sample t-test. i271B. Some Data Considerations for Final Exam:. Two metric variables Correlation One binary categorical variable, one metric variable T-test Two categorical variables Chi-Square ( crosstabulations )

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Graphing

Graphing Types of Graphs Pie Charts XY Graphs Bar Charts What type of graph to use? Pie Charts Limited in their applicability Can only be used when you have a quantitative variable associated with a list of categories where BOTH the categories and the quantities each add up to a WHOLE

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How to Run WEKA Demo SVM in WEKA

How to Run WEKA Demo SVM in WEKA. T.B. Chen 2008 12 21. Download- WEKA. Web pages of WEKA as below: http://www.cs.waikato.ac.nz/ml/weka/. The Flow Chart of Running SVM in WEKA. Selected Test Options. Cross-validation Folds = Observations. Prepared a training dataset. Selected

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Graphing

Graphing. Types of Graphs. Pie Charts XY Graphs Bar Charts. What type of graph to use?. Pie Charts Limited in their applicability Can only be used when you have a quantitative variable associated with a list of categories where BOTH the categories and the quantities each add up to a WHOLE

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Curvilinear Regression

Curvilinear Regression. Modeling Departures from the Straight Line (Curves and Interactions). How does polynomial regression test for quadratic and cubic trends?

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Bar Graphs

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Multivariate Descriptive Research

Multivariate Descriptive Research. In the previous lecture, we discussed ways to quantify the relationship between two variables when those variables are continuous. What do we do when one or more of the variables is categorical?. Categorical Variables.

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Data Analysis for Two-Way Tables

Data Analysis for Two-Way Tables. Chapter 2.5. Group by age. Record education. First factor: age. Second factor: education. Two-way tables . An experiment has a two-way, or block, design if two categorical factors are studied with several levels of each factor.

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Chapter 1 - Introduction

Chapter 1 - Introduction. Math 22 Introductory Statistics. What is Statistics?. Statistics - Involves the collection, organization, interpretation, and presentation of numerical information. Introductory Terms. Experimental Units - Subjects

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Business Research Methods

Business Research Methods Lecture 6 by Selim Bora Graphs The distribution of a variable tells us what values it takes and how often it takes these values. To see what data say, start with graphs. Pie chart and bar graphs are two illustrative types.

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Relative Cumulative Frequency Graphs

Relative Cumulative Frequency Graphs. AP Statistics. How to construct an ogive (relative Cumulative Frequency Graph).

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