'Qualitative variables' diaporamas de présentation

Introduction to Graphical Presentation

Introduction to Graphical Presentation. Andy Wang CIS 5930-03 Computer Systems Performance Analysis. The Art of Graphical Presentation. Reference Works Types of Variables Guidelines for Good Graphics Charts Common Mistakes in Graphics Pictorial Games Special-Purpose Charts.

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ECONOMETRICS I

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Chapter 3 A Review of Statistical Principles Useful in Finance

Chapter 3 A Review of Statistical Principles Useful in Finance. Statistical thinking will one day be as necessary for effective citizenship as the ability to read and write. - H.G. Wells. Outline. Introduction The concept of return Some statistical facts of life. Introduction.

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CHI SQUARE TEST

CHI SQUARE TEST. DR HAR ASHISH JINDAL JR. Contents. Definitions Milestone in Statistics Chi square test Chi Square test Goodness of Fit Chi square test for homogeneity of Proportion Chi Square Independent test Limitation of Chi square Fischer Exact test Continuity correction

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1 Chapter : Organizing and Displaying Data Introduction: Statistics :

1 Chapter : Organizing and Displaying Data Introduction: Statistics : Statistics is that area of study which is interested in learning how to collect, organize, and summarize information, and how to answer research questions and draw conclusions. Biostatistics:

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??? ???? ?????? ??????. Introduction to Biostatistics. Dr. Moataza Mahmoud Abdel Wahab Lecturer of Biostatistics High Institute of Public Health University of Alexandria. Biostatistics. (a portmanteau word made from biology and statistics)

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??? ???? ?????? ??????. Introduction to Biostatistics. Dr. Moataza Mahmoud Abdel Wahab Lecturer of Biostatistics High Institute of Public Health University of Alexandria. Biostatistics. (a portmanteau word made from biology and statistics)

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Below Average Above Average Above Average Average Above Average Average Above Average

Categorical Data. Guests staying at Marada Inn were asked to rate the quality of their accommodations as being excellent , above average , average , below average , or poor . The ratings provided by a sample of 20 guests are:. Example: Marada Inn. Above Average Above Average

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Chapter 1 The Where, Why, and How of Data Collection

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Chapter 3

Chapter 3. Constructs, Variables, and Definitions . Constructs, Variables, and Definitions. Scientists operate on two levels: theory-hypothesis-construct and observation.

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The Nature of Probability and Statistics

The Nature of Probability and Statistics. Chapter 1 Sections 1 and 2 Pg 2-8. Learning Intentions. Classify each variable as qualitative or quantitative. Decide whether descriptive or inferential statistics has been used in each scenario.

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STA 291 Fall 2009

STA 291 Fall 2009. Lecture 13 Dustin Lueker. Central Limit Theorem. For random sampling, as the sample size n grows, the sampling distribution of the sample mean, , approaches a normal distribution Amazing: This is the case even if the population distribution is discrete or highly skewed

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STA 291 Summer 2010

STA 291 Summer 2010. Lecture 12 Dustin Lueker. Central Limit Theorem. For random sampling, as the sample size n grows, the sampling distribution of the sample mean, , approaches a normal distribution Amazing: This is the case even if the population distribution is discrete or highly skewed

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Looking at data

Looking at data. Visualization tools. Goals for sections 1.1-1.2. Organize data and break it down into manageable pieces. Learn the terminology for discussing data. Describe patterns and identify peculiarities. Use graphs and numerical summaries. Individuals.

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A (Brief) Introduction to Empirical Legal Scholarship

A (Brief) Introduction to Empirical Legal Scholarship. Prepared by Mirya Holman Duke University Law Library Empirical Research Support. What is Empirical Legal Scholarship?. Empirical : derived from experiment and observation rather than theory

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USING DUMMY VARIABLES IN REGRESSION MODELS

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Frequency distributions

Frequency distributions. Chapter 2. What are frequency distributions?. Table or graph that lets you quickly and easily see how many responses of a particular value (or range of values) you have. Why do we care?. Lets you quickly and easily see if you have invalid values

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Describing the Data

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Section 1.1: Where Do Data Come From?

Section 1.1: Where Do Data Come From?. Individuals and Variables. Individuals are the objects described by a set of data. Individuals may be people, animals, or things. A variable is any characteristic of an individual. A variable can take different values for different individuals.

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Contingency tables and association statistics

Contingency tables and association statistics. (from Chapter 9). 1. Association between qualitative variables. Association is a generic term referring to the relationship of two variables Correlation measures strictly refer to quantitative variables

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