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    Article Review II Article Title: Setting the Rules of the Game. The Choice of Electoral Systems in Advanced Democracies Boix‚ Charles.1999.Setting the Rules of the Game. The Choice of Electoral Systems in Advanced Democracies. American Political Science Review 93: 609-624. The above-referenced article tries to account for the main factors that lead to change in electoral system choice in advanced democracies. Unlike the previous articles I have reviewed‚ this article does not explicitly put

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    math 112

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    STAT 208 16/05/2014 Quiz 4 1. (8-28) (18 points) An Izod impact test was performed on 20 specimens of PVC pipe. Assume that the population is normally distributed. The sample mean is ̅ and the sample standard deviation is . Find a 99% lower confidence bound on Izod impact strength. Sol: 99% lower confidence bound on mean Izod impact strength n  20 x  1.25 s  0.25 t0.01‚19  2.539  s  x  t0.01‚19    n  0.25  1.25  2.539    20  1.108   2. (28-5) (18

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    Research Paper

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    Mobilink Head office‚ Call Center and Administrative Department for collection of data. The measures for analysis are employee turnover‚ work load‚ work stress‚ employee salary‚ job satisfaction‚ and work to family conflict. Correlation and regression tests are used for research studies in order to analyze the relationship among independent and dependent variables. The result from the regression analysis confirms that the Performance of an organization is negatively and insignificantly associated with

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    Factor Analysis

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    Factor Analysis Introduction Basic Concept of Factor Analysis Factor analysis is a statistical approach to reduce a large set of variables that are mostly correlated to each other to a small set of variables or factors. It is also used to explain the variables in the common underlying factors. (Hair et al‚ 1998) Malhotra‚ 2006 mentioned that factor analysis is also an interdependence technique that both dependent and independent variables are examined without making distinction between them

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    Modeling Gasoline Demand

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    Modeling Gasoline Demand in the United States Economics 375 DePaul University‚ Chicago‚ IL 60601 June 13‚ 2012 Abstract This paper is an econometric approach to the estimation of price and income elasticities of gasoline demand in the United States from a translog model‚ and is based off of the most recent data available for use. This approach allows for variables to interact in a flexible yet instrumental way‚ providing for significant evidence that gasoline demand elasticities are construed

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    end of each 92-day period was reported to the police. The purpose of this report is to see if‚ and to what extent the number of accidents is reduced when speed limits are in place. Several key findings emerged from the exploratory analysis. Firstly‚ mean analysis on the number of accidents relative to the presence of speed limits suggests that limits do reduce the number of accidents. The mean number of accidents with limits was -18.9 and 18.4 in 1961 and 1962 respectively compared with 23.9

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    Earnings Management

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    factors effecting Earnings Management. | TABLE OF CONTENTS Introduction 3 Revenue Management 3 Earnings Management 3 Motives 5 Instruments 5 Project Methodology 8 Objective 8 Scope 8 Methodology 8 Analysis 9 Model 1 9 Model 2 14 Model 3 21 Satyam Case Analysis: 28 Conclusion 29 REFERENCES 32 Introduction Revenue Management It is a scientific way of maximizing profitability in capacity constrained industries by dynamically managing prices‚ inventories and capacity

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    The Usefulness of Accounting Estimates for Predicting Cash Flows and Earnings Baruch Lev* New York University Siyi Li University of Illinois Theodore Sougiannis University of Illinois and ALBA January‚ 2009 * Contact information: Baruch Lev (blev@stern.nyu.edu)‚ Stern School of Business‚ New York University‚ New York‚ NY 10012. The authors are indebted to the editor and reviewers of the Review of Accounting Studies for suggestions and guidance‚ and to Louis Chan‚ Ilia Dichev‚ John Hand

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    Procedure………………………………………………………………………………………... 9 Communication Method………………………………………………………………………………….. 9 Measurement Instruments………………………………………………………………………………. 10 Statistical Analysis …………………………………………………………………………………………… 10 Results…………………………………………………………………………………………………………………… 12 Descriptive statistic……………………………………………………………………………………....... 12 Regression Analysis……………………………………………………………………………………….... 12 T-test………………………………………………………………………………………………………………. 13 Conclusions & Discussion………………………………………………………………………………………

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    Nill

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    from October till December; 2008 the Sample chosen for the study is 80 employees of UNILEVER companies Results-The factors affecting satisfaction were identified; payment (0.86**)‚ promotion (0.74**)‚ working condition (0.61**)‚ personal(0.37*) as Analysis showed immense support for positive relationship between REWARD and EMPLOYEE SATISFICTION. All these results are statistically significant thus providing rigor and generalizability in research. Conclusion-This exploratory study suggests for the positive

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