Chi-square tests 1. INTRODUCTION 1.1 χ2 distribution and its properties A chi-square (χ2) distribution is a set of density curves with each curve described by its degree of freedom (df). The distribution have the following properties: - Area under the curve = 1 - All χ2 values are positive i.e. the curve begins from 0 (except for df=1) increases to a peak and decreases towards 0 as its asymptote - The curve is skewed to the right‚ and as the degree of freedom increases‚ the
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Name________________________________ Score________________ Due 05/07/2013 Each additional day late will cost you 4 points. SHOW ALL WORK AND DO BY HAND. YOU CAN CHECK ON CALCULATOR. 12. (20 points) A public opinion poll surveyed a simple random sample of voters. Respondents were classified by gender (male or female) and by voting preference (Republican‚ Democrat‚ or Independent). Results are shown below. | Voting Preferences | | Republican | Democrat
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We are asked to determine if gender influences the choice of a major. Conducting a Chi Square Test of Independence allows us to draw a conclusion. Two variables that are categorical is required to complete a Chi Square Test of Independence (Mirabella‚ 2011). The purpose of this test is to determine if variables are independent or dependent from one another. To see the relationship between two variables‚ we are to use cross tabulation. Cross tabulation is when we display information for two variables
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THE CHI-SQUARE GOODNESS-OF-FIT TEST The chi-square goodness-of-fit test is used to analyze probabilities of multinomial distribution trials along a single dimension. For example‚ if the variable being studied is economic class with three possible outcomes of lower income class‚ middle income class‚ and upper income class‚ the single dimension is economic class and the three possible outcomes are the three classes. On each trial‚ one and only one of the outcomes can occur. In other words‚ a family
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Individual Paper #3: Non parametric and Chi-square distribution Brief Summary: I worked for a logistic company. My major responsibility was in charge of the storage and transportation of parts of cars between two areas‚ which are about 1400 miles apart. One of my jobs is collecting the goods from suppliers and arranging the trucks to deliver them. There are five truck drivers‚ and each of them is assigned to deliver on each weekday throughout a whole year. Before the delivery
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Chi-Square Homogeneity Test The purpose of a chi-square homogeneity test is to compare the distributions of a variable of two or more populations. As a special case‚ it can be used to decide whether a difference exists among two or more population proportions. For a chi-square homogeneity test‚ the null hypothesis is that the distributions of the variable are the same for all the populations‚ and the alternative hypothesis is that the distributions of the variable are not all the same (i.e.‚ the
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Drosophila melanogaster: Mutant Fruit Flies Jessica E. Phillips Genetics 3301 April 13‚ 2012 Introduction: Drosophila melanogaster better known as the fruit fly can be found near rotting fruits‚ vegetables‚ or anywhere where there is food that has rotted and or fermented. (Potter‚ 2010) D. melanogaster has four different stages in its life cycle. The first stage of D. melanogaster is the egg which can last for about one day; then turns into a larva. The larva stage last for about 7-8 days
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Usage to Grade Averages IB Math Studies Spring 2013 Table of Contents: Introduction/Purpose……………………………………………………………..p.3 Data Collection Method……………………………………………………….....p. 3 - 4 Data Analysis: Chi-Squared Statistic Frequency Table…………………………………………………………p. 4 - 5 Contingency Table……………………………………………………….p. 5 – 6 Chi – Squared Statistic…………………………………………………...p. 7 Degrees of Freedom………………………………………………………p. 7 Critical Value……………………………………………………………..p. 7 – 8 Conclusion……………………………………………………………………
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The Chi-Square (x2) Goodness-of-Fit Test: What It Is and What It Does The chi-square (x2) goodness-of-fit test is used for comparing categorical information against what we would expect based on previous knowledge. As such‚ it tests what are called observed frequencies (the frequency with which participants fall into a category) against expected frequencies (the frequency expected in a category if the sample data represent the population). It is a non-directional test‚ meaning that the alternative
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photocopying‚ recording‚ or by any information storage or retrieval systems‚ without permission in writing from the publisher. For information contact: Facts On File‚ Inc. 132 West 31st Street New York NY 10001 Library of Congress Cataloging-in-Publication Data Roberts‚ Jeremy‚ 1956– Chinese mythology A to Z: a young reader’s companion / by Jeremy Roberts.—1st ed. p. cm.—(Mythology A–Z) Includes bibliographical references and index. ISBN 0-8160-4870-3 (hardcover: alk. paper) 1. Mythology‚ Chinese. I. Title
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