...Applying ANOVA and Nonparametric Tests Simulation This week’s assignment was to take a simulation called Applying ANOVA and Nonparametric Tests. After carefully reviewing the simulation it became easier to answer the questions for the assignment. Researchers sometimes have difficult decisions to make. Applying the analysis of variance (ANOVA) helps businesses to recognize the challenges and opportunities of making a business decision. ANOVA testing is a statistical tool that test each population calculated with a normal distribution (University of Phoenix, 2011). The benefit of this test is it can narrow down the errors of an incorrect test method as long as there is statistical proof (University of Phoenix, 2011). On the other hand, other tests are required because sometimes there are inaccurate assumptions that come with the testing process and businesses than acquire the nonparametric test known as the Kruskal-Wallis test for further analysis (University of Phoenix, 2011). The three lessons learned related to the ANOVA and Nonparametric tests include how businesses can learn how to better monitor, measure and improve their business processes (University of Phoenix, 2011). A successful business is faced with many challenges daily. The goal is to provide quality products and excellent services to their customer’s, employees and shareholders. After reviewing the simulation, some concepts and analytic tools came to mine, which this would...
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...Applying ANOVA and Nonparametric Tests Simulation In this week’s simulation, I chose the Kruskal-Wallis test. The three lessons learned relative to ANOVA and Nonparametric Tests were the errors are random and independent of each other, each population has a normal distribution, and all the populations have the same variance. From the lessons learned through the ANOVA and Nonparametric Tests Simulation, I will be able to apply the concepts and analytical tools learned at my workplace by applying ANOVA and various nonparametric tests to analyze the results of data for more efficient and effective operations within my organization. Some of the suggestions that I made in the simulation for month one were to conduct a Kruskal-Wallis Test, reject the null hypothesis, and provide training for increase competency, which will help increase productivity of the software engineers of Praxidike Systems. For month two, I selected the type of project and scope changes as factors for analysis. The correlation matrix showed that the factor “type of project” has a strong positive correlation with the productivity of software engineers. The factor “scope changes,” on the other hand, has a correlation coefficient of 0.6. It was difficult to make any definite conclusions from this number as it was more than 0.5, but less than 0.75. Thus, further investigation of the factor is appropriate. I also made suggestions to set competency levels for a project depending on the skill requirements...
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...ANOVA and Nonparametric Simulation For this assignment students are tasked with completing an online simulation and applying statistical research. To complete this paper we as students need to answer three basic questions. What are three lessons you learned relative to ANOVA and nonparametric tests? As a result of using this simulation, what concepts and analytic tools will you be able to use in your workplace (i.e., how do you expect to apply what you learned)? Based on your experience, what additional information would you recommend to the key decision maker in the simulation to solve the challenge given? For the first question relating to lessons learned; ANOVA is a test to compare the means of several populations. ANOVA doesn’t answer which population might have a larger or smaller mean: it only answers whether all the means are equal. This is done by evaluating the variances within the groups and between the groups being compared (Doane & Seward, 2007). ANOVA can be used to evaluate if different factors have a different effect on a variable. The factors are categorical variables with different levels. For instance, the context of the simulation is a software development company that wants to know if factors like project difficulty, experience, or requirement changes affect the productivity of the software engineers. Productivity is measured by the average number of lines of code written per day by a programmer. An ANOVA test can shed light as to whether productivity...
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... | |Applying Analysis of Variance | |[Anova test simulation] | |Rochelle Kuebler | |[September 23, 2011] | Praxidike is a software company, which has concern defining why their assignments are not done on time. The set-up starts by handing out two nonparametric analysis methods that include ANOVA and Kruskal-Wallis. Nonparametric testing procedures need definite requests to make use of efficiently. The key norms of ANOVA testing consist of the following: the population consumes a standard distribution, mistakes are independent, and population consumes the same variance. The Kruskal-Wallis test, instead, does not involve the hypothesis of a common distribution and the facts need to be on an ordinal measure. This is characteristically a superior choice if the expectations of ANOVA will not be met. This setup runs three examples of how certain testing systems can be practical to real-world circumstances. The first part of the situation is to relate the Kruskal-Wallis test because the expectations of ANOVA may not be seen. After studying the facts, it was obvious...
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...Data Analysis in SPSS Jamie DeCoster Department of Psychology University of Alabama 348 Gordon Palmer Hall Box 870348 Tuscaloosa, AL 35487-0348 February 21, 2004 If you wish to cite the contents of this document, the APA reference for them would be DeCoster, J. (2004). Data Analysis in SPSS. Retrieved from http://www.stat-help.com/notes.html Heather Claypool Department of Psychology Miami University of Ohio 136 Benton Hall Oxford, OH 45056 All rights to this document are reserved Table of Contents Introduction ...................................................................................................................................................................1 Interactive Mode versus Syntax Mode ..........................................................................................................................2 Descriptive Statistics .....................................................................................................................................................4 Transformations.............................................................................................................................................................5 Compute ....................................................................................................................................................................5 Recode ............................................................................................................................
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...& Summary Computer system users, administrators, and designers usually have a goal of highest performance at lowest cost. Modeling and simulation of system design trade off is good preparation for design and engineering decisions in real world jobs. In this Web site we study computer systems modeling and simulation. We need a proper knowledge of both the techniques of simulation modeling and the simulated systems themselves. The scenario described above is but one situation where computer simulation can be effectively used. In addition to its use as a tool to better understand and optimize performance and/or reliability of systems, simulation is also extensively used to verify the correctness of designs. Most if not all digital integrated circuits manufactured today are first extensively simulated before they are manufactured to identify and correct design errors. Simulation early in the design cycle is important because the cost to repair mistakes increases dramatically the later in the product life cycle that the error is detected. Another important application of simulation is in developing "virtual environments" , e.g., for training. Analogous to the holodeck in the popular science-fiction television program Star Trek, simulations generate dynamic environments with which users can interact "as if they were really there." Such simulations are used extensively today to train military personnel for battlefield situations, at a fraction of the cost of running exercises involving...
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...Statistical Methods in Credit Risk Modeling by Aijun Zhang A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Statistics) in The University of Michigan 2009 Doctoral Committee: Professor Vijayan N. Nair, Co-Chair Agus Sudjianto, Co-Chair, Bank of America Professor Tailen Hsing Associate Professor Jionghua Jin Associate Professor Ji Zhu c Aijun Zhang 2009 All Rights Reserved To my elementary school, high school and university teachers ii ACKNOWLEDGEMENTS First of all, I would express my gratitude to my advisor Prof. Vijay Nair for guiding me during the entire PhD research. I appreciate his inspiration, encouragement and protection through these valuable years at the University of Michigan. I am thankful to Julian Faraway for his encouragement during the first years of my PhD journey. I would also like to thank Ji Zhu, Judy Jin and Tailen Hsing for serving on my doctoral committee and helpful discussions on this thesis and other research works. I am grateful to Dr. Agus Sudjianto, my co-advisor from Bank of America, for giving me the opportunity to work with him during the summers of 2006 and 2007 and for offering me a full-time position. I appreciate his guidance, active support and his many illuminating ideas. I would also like to thank Tony Nobili, Mike Bonn, Ruilong He, Shelly Ennis, Xuejun Zhou, Arun Pinto, and others I first met in 2006 at the Bank. They all persuaded me to jump into the...
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...The Six Sigma Handbook Revised and Expanded A Complete Guide for Green Belts, Black Belts, and Managers at All Levels THOMAS PYZDEK McGraw-Hill New York Chicago San Francisco Lisbon London Madrid Mexico City Milan New Delhi San Juan Seoul Singapore Sydney Toronto Copyright © 2003 by The McGraw-HIll Companies, Inc. All rights reserved. Manufactured in the United States of America. Except as permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the prior written permission of the publisher. 0-07-141596-3 The material in this eBook also appears in the print version of this title: 0-07-141015-5. All trademarks are trademarks of their respective owners. Rather than put a trademark symbol after every occurrence of a trademarked name, we use names in an editorial fashion only, and to the benefit of the trademark owner, with no intention of infringement of the trademark. Where such designations appear in this book, they have been printed with initial caps. McGraw-Hill eBooks are available at special quantity discounts to use as premiums and sales promotions, or for use in corporate training programs. For more information, please contact George Hoare, Special Sales, at george_hoare@mcgraw-hill.com or (212) 904-4069. TERMS OF USE This is a copyrighted work and The McGraw-Hill Companies, Inc. (“McGraw-Hill”) and its licensors reserve all...
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... Preface: Background of the GIPS Standards B. I. Introduction C. II.0. Provisions of the Global Investment Performance Standards – Fundamentals of Compliance * 5. The Corporate Governance of Listed Companies: A Manual for Investors (CFA Institute, 2005) Learning Outcomes 1. “Code of Ethics and Standards of Professional Conduct” The Code of Ethics establishes the framework for ethical decision making in the investment profession. The candidate should be able to state the six components of the Code of Ethics. The Standards of Professional Conduct are organized into seven standards: I. Professionalism II. Integrity of Capital Markets III. Duties to Clients and Prospective Clients IV. Duties to Employers V. Investment Analysis, Recommendations, and Action VI. Conflicts of Interest VII. Responsibilities as a CFA Institute Member or CFA Candidate Each standard contains multiple provisions for which the candidate is responsible. The candidate should be able to identify the ethical responsibilities required by the Code and Standards. * Readings...
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...e eBook Collection RESEARCH METHODS FOR BUSINESS A Skill-Building Approach Fourth Edition Uma Sekaran Southern Illinois University at Carbondale John Wiley & Sons, Inc. http://www.wiley.com/college ACQUISITIONS EDITOR MARKETING MANAGER SENIOR PRODUCTION EDITOR SENIOR DESIGNER PRODUCTION MANAGEMENT SERVICES COVER IMAGE Jeff Marshall Ilse Wolfe Patricia McFadden Harry Nolan Hermitage Publishing Services José Ortega/Stock Illustration Source This book was set in 10/12 Garamond by Hermitage Publishing Services and printed and bound by Malloy Lithographing, Inc. The cover was printed by Von Hoffmann Press, Inc. This book is printed on acid-free paper. Copyright 2003 © John Wiley & Sons, Inc. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 750-4470. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 605 Third Avenue, New York, NY 10158-0012, (212) 850-6011, fax (212) 850-6008, E-Mail: PERMREQ@WILEY.COM. To order books please...
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...MASTER OF TECHNOLOGY ADVANCED ELECTIVES SELECTION For Semester II 2014/2015 ATA/SE-DIP/TS-11/V1.34 Master of Technology in Software /Knowledge Engineering and Enterprise Business Analytics Table of Contents. MTECH ADVANCED ELECTIVES 1. INTRODUCTION. 1.1 Overview. 1.2 Courses. 1.3 Assessment. 1.4 Elective Selection Process. 2 2 2 2 3 3 2. SCHEDULE FOR ADVANCED ELECTIVES OFFERED DURING SEMESTER II 2014/2015. 2.1 MTech SE and KE Students. 2.2 MTech EBAC Students. 5 5 9 3. CURRICULUM. 12 4. DESCRIPTION OF COURSES. 4.1 Department of Electrical & Computer Engineering. 4.2 School of Computing. 4.3 Institute of Systems Science. 4.4 Department of Industrial & Systems Engineering. 4.5 Division of Engineering & Technology Management. 12 15 23 31 32 34 ATA/SE-DIP/TS-11/V1.34 page 1 of 35 Master of Technology in Software /Knowledge Engineering and Enterprise Business Analytics MASTER OF TECHNOLOGY Advanced Electives 1. INTRODUCTION 1.1 Overview All students that expect to have passed four core courses and eight basic electives after completing the scheduled examinations in November, and also have or expect to pass their project/internship, will be entitled to commence their Advanced Electives in NUS Semester II 2014/2015, which starts on 12 January 2015. However, it should be noted that a student’s registration for the Advanced Electives will be withdrawn if they either: 1. 2. 3. 4. 5. Fail any elective examination in November. Do not successfully...
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...Mostly Harmless Econometrics: An Empiricist’ Companion s Joshua D. Angrist Massachusetts Institute of Technology Jörn-Ste¤en Pischke The London School of Economics March 2008 ii Contents Preface Acknowledgments Organization of this Book xi xiii xv I Introduction 1 3 9 10 12 16 1 Questions about Questions 2 The Experimental Ideal 2.1 2.2 2.3 The Selection Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Random Assignment Solves the Selection Problem . . . . . . . . . . . . . . . . . . . . . . . . Regression Analysis of Experiments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . II The Core 19 21 22 23 26 30 36 38 38 44 47 51 51 3 Making Regression Make Sense 3.1 Regression Fundamentals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.1.1 3.1.2 3.1.3 3.1.4 3.2 Economic Relationships and the Conditional Expectation Function . . . . . . . . . . . Linear Regression and the CEF . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Asymptotic OLS Inference . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Saturated Models, Main E¤ects, and Other Regression Talk . . . . . . . . . . . . . . . Regression and Causality . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.2.1 3.2.2 3.2.3 The Conditional Independence Assumption . . . . . . . . . . . . . . . . . . . . . . . . The Omitted Variables Bias Formula . ....
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...Probability & Statistics for Engineers & Scientists This page intentionally left blank Probability & Statistics for Engineers & Scientists NINTH EDITION Ronald E. Walpole Roanoke College Raymond H. Myers Virginia Tech Sharon L. Myers Radford University Keying Ye University of Texas at San Antonio Prentice Hall Editor in Chief: Deirdre Lynch Acquisitions Editor: Christopher Cummings Executive Content Editor: Christine O’Brien Associate Editor: Christina Lepre Senior Managing Editor: Karen Wernholm Senior Production Project Manager: Tracy Patruno Design Manager: Andrea Nix Cover Designer: Heather Scott Digital Assets Manager: Marianne Groth Associate Media Producer: Vicki Dreyfus Marketing Manager: Alex Gay Marketing Assistant: Kathleen DeChavez Senior Author Support/Technology Specialist: Joe Vetere Rights and Permissions Advisor: Michael Joyce Senior Manufacturing Buyer: Carol Melville Production Coordination: Lifland et al. Bookmakers Composition: Keying Ye Cover photo: Marjory Dressler/Dressler Photo-Graphics Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and Pearson was aware of a trademark claim, the designations have been printed in initial caps or all caps. Library of Congress Cataloging-in-Publication Data Probability & statistics for engineers & scientists/Ronald E. Walpole . . . [et al.] — 9th ed. p. cm. ISBN 978-0-321-62911-1...
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...Senior Author Support/Technology Specialist: Joe Vetere Manufacturing Manager: Evelyn Beaton Senior Manufacturing Buyer: Carol Melville Production Coordination, Technical Illustrations, and Composition: Laserwords Maine Cover Photo Credit: Abstract green flow, ©Oriontrail/Shutterstock Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and Pearson was aware of a trademark claim, the designations have been printed in initial caps or all caps. Library of Congress Cataloging-in-Publication Data Mendenhall, William. A second course in statistics : regression analysis/ William Mendenhall, Terry Sincich –7th ed. p. cm. Includes index. ISBN 0-321-69169-5 1. Commercial statistics. 2. Statistics. 3. Regression analysis. I. Sincich, Terry, II. Title. HF1017.M46 2012 519.5′ 36–dc22 2010000433 Copyright © 2012, 2003, 1996 by Pearson Education, Inc. All rights reserved. No part of this publication may be reproduced, stored in a...
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...SAGE India website gets a makeover! Global Products Enhanced Succinct Intuitive THE Improved Interactive Smart Layout User-friendly Easy Eye-catching LEADING WORld’s LEADING Independent Professional Stay tuned in to upcoming Events and Conferences Search Navigation Feature-rich Get to know our Authors and Editors Why Publish with SAGE ? World’s LEADING Publisher and home and editors Societies authors Professional Academic LEADING Publisher Natural World’s Societies THE and LEADING Publisher Natural authors Societies Independent home editors THE Professional Natural Societies Independent authors Societies and Societies editors THE LEADING home editors Natural editors Professional Independent Academic and authors Academic Independent Publisher Academic Societies and authors Academic THE World’s THE editors Academic THE Natural LEADING THE Natural LEADING home Natural authors Natural editors authors home World’s authors THE editors authors LEADING Publisher World’s LEADING authors World’s Natural Academic editors World’s home Natural and Independent authors World’s Publisher authors World’s home Natural home LEADING Academic Academic LEADING editors Natural and Publisher editors World’s authors home Academic Professional authors Independent home LEADING Academic World’s and authors home and Academic Professionalauthors World’s editors THE LEADING Publisher authors Independent home editors Natural...
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