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    Data Commentary

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    Queenie 1097300104 E5B Data Analysis First Part Personal information: including the participants’ gender‚ age‚ educational background‚ marital status and monthly income. Gender As Figure 1 showed‚ there were 45% of female participants and 55% of male. The numbers of the participants of each gender were very close. Age The respondents were all my friends on Facebook; as the result‚ the majority (73%) of their age was in the range of 16-20‚ as seen in Figure 2. Figure 1: Gender

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    Outline

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    strategic concepts‚ you can expect to further develop your abilities in sizing up complex business situations and identifying core problems and issues. Through the case studies‚ you will have the opportunity to analyze qualitative and quantitative data‚ both internal and external to the firm‚ and assess what implications it may hold for the firm’s success. You will learn to identify and evaluate existing and alternative strategies and gain the confidence to recommend specific courses of action. Finally

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    Job Analysis Procedure

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    JOB ANALYSIS PROCEDURE 1. Develop preliminary job information a. Review existing documents b. Prepare a preliminary list of duties c. Make note of major items that are unclear 2. Conduct interviews a. It is recommended that the first interview be conducted with someone who can provide an overview of the job and how the major duties fit together b. The interviewers are considered subject matter experts c. The job incumbent to be interviewed should represent the typical

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    Crime Data

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    Crime Data Comparison Comparing similar crimes‚ in metropolitan area such as Phoenix and Dallas. The FBI Uniform Crime Report (UCR) data shows in 2009 Phoenix had 76 reported murders‚ and Dallas with 86. Dallas with a lower population number of 1‚290‚266 had higher murder rate‚ Phoenix with population of 1‚597‚397 reported in 2009. Reported murder rates dropped in both areas in 2010‚ Dallas with 73‚ and Phoenix with a reported 50. “National reports a decrease of 6.2 percent of violent crimes during

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    data communications

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    CHAPTER 12 ROUTING IN SWITCHED NETWORKS A NSWERS TO Q UESTIONS 12.1 The average load expected over the course of the busiest hour of use during the course of a day. 12.2 The tradeoff is between efficiency and resilience. 12.3 A static routing strategy does not adapt to changing conditions on the network but uses a fixed strategy developed ahead of time. With alternate routing‚ there are a number of alternate routes between source and destination and a dynamic choice of routes is

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    Thimun Basic Procedures

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    How to Help MUN Delegates Become Prepared By Uday Mehra‚ International School of Amsterdam How to Help MUN Delegates Become Prepared Photo Source: http://www.munity-online.net/hague/news/index.php?option=com_frontpage&Itemid=1 By Uday Rai Mehra International School of Amsterdam 1 How to Help MUN Delegates Become Prepared By Uday Mehra‚ International School of Amsterdam Dedications I dedicate this guide to those who’ve — in some way— helped me in this process. Jyotsna and Rajiv

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    Big Data

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    Systems Coursework Part 1: Big Data Student ID: 080010830 March 16‚ 2012 Word Count: 3887 Abstract Big data is one of the most vibrant topics among multiple industries‚ thus in this paper we have covered examples as well as current research that is being conducted in the field. This was done based on real applications that have to deal with big data on a daily basis together with a clear focus on their achievements and challenges. The results are very convincing that big data is a critical subject that

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    Welding Procedure Preparation

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    Welding Procedure Guide An easy to follow guide covering the preparation of welding procedure data sheets © Copyright 2008 CWB Group - Industry Services ® © Copyright CWB Group - Industry Services Revised September 2008 All rights reserved. CWB Group 1-800-844-6790 www.cwbgroup.org ® TABLE OF CONTENTS 1.0 Introduction 2 2.0 Welding Engineering Standards 3 3.0 Welding Procedure Specification (WPS) 3 4.0 Welding Procedure Data Sheet (WPDS)

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    Data Recovery

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    Data Recovery Book V1.0 (Visit http://www.easeus.com for more information) DATA RECOVERY BOOK V1.0 FOREWORD ---------------------------------------------------------------------------------------------------------------------The core of information age is the information technology‚ while the core of the information technology consists in the information process and storage. Along with the rapid development of the information and the popularization of the personal computer‚ people find information

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    DataBig Data and Future of Data-Driven Innovation A. A. C. Sandaruwan Faculty of Information Technology University of Moratuwa chanakasan@gmail.com The section 2 of this paper discuss about real world examples of big data application areas. The section 3 introduces the conceptual aspects of Big Data. The section 4 discuss about future and innovations through big data. Abstract: The promise of data-driven decision-making is now being recognized broadly‚ and there is growing enthusiasm

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