Examining data

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  • Chapter 16 - Exploring, displaying, and examining data. After studying this chapter you will be able to understand: That exploratory data analysis techniques provide insights and data diagnostics by emphasizing visual representations of the data; how cross-tabulation is used to examine relationships involving categorical variables, serves as a framework for later statistical testing, and makes an efficient tool for data visualization and later decision-making.

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  • (bq) part 1 book "fraud examination" hass contents: the nature of fraud; why people commit fraud; fighting fraud - an overview; preventing fraud; recognizing the symptoms of fraud; data driven fraud detection, investigating theft acts, investigating concealment, conversion investigation methods, inquiry methods and fraud reports.

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  • (BQ) Continued part 1, part 2 of the document A guide to the final Fanzca examination with examination anaesthesia (Second edition) has contents: Data interpretation for the final examination, useful reference and review articles. Invite you to refer.

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  • This study is a report on the validity of the hypothesis that students’ perception of the learning environment in a psychology classroom reflects their attitude, confidence and sense of satisfaction with regards to psychology. It examines data obtained from 110 students in 2 psychology classes of the Faculty of Education, An Giang University, to identify how students’ perceptions of the classroom learning environment varies and the extent to which this reflects attitudes, confidence and satisfaction.

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  • What are your organization’s policies for generating and using huge datasets full of personal information? This book examines ethical questions raised by the big data phenomenon, and explains why enterprises need to reconsider business decisions concerning privacy and identity. Authors Kord Davis and Doug Patterson provide methods and techniques to help your business engage in a transparent and productive ethical inquiry into your current data practices.

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  • THE EAST ASIAN FINANCIAL CRISIS: A CRITICAL EXAMINATION OF FOUR ALTERNATIVE MODELS David Card and Alan Krueger provided the SAT data used throughout. Cecilia Rouse provided the hard-to-obtain School District Data Book used in Chapters 1 and 2. Saul Geiser and Roger Studley of the University of California Office of the President provided the student records that permitted the research in Chapter 3.

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  • This report is the second in a continuing review of the planning being done by the Social Security Administration (SSA) to develop a new data management system to support its service delivery process. The review was undertaken at the request of the Social Security Administration, and follows by one year a review by a similar panel of the Board on Telecommunications-Computer Applications, National Research Council.

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  • In this paper we examine how the differences in modelling between different data driven systems performing the same NLP task can be exploited to yield a higher accuracy than the best individual system. We do this by means of an experiment involving the task of morpho-syntactic wordclass tagging. Four well-known tagger generators (Hidden Markov Model, Memory-Based, Transformation Rules and Maximum Entropy) are trained on the same corpus data. After comparison, their outputs are combined using several voting strategies and second stage classifiers. ...

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  • This study examines the technical and scale efficiencies for a sample of irrigated and rainfed rice farmers in Anambra State, using data envelopment analysis (DEA). Two(2) local government areas were purposively selected; three communities were randomly selected giving a total of six(6) communities. 

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  • In this chapter, students will be able to: Understand the nature of experiments, gain insight into requirements for proving causation, learn about the experimental setting, examine experimental validity, learn the limitations of experimentation in marketing research, compare types of experimental designs, gain insight into test marketing.

    ppt26p allbymyself_06 28-01-2016 56 3   Download

  • After completing this lesson, you should be able to do the following: Compare and evaluate the different storage structures Examine different data access methods Implement different partitioning methods

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  • Among the many hardships of military activation is the possibility of losing earnings, and although some research points to such a loss, other research suggests that reservists in fact earn substantially more when they are activated. The authors examine earnings reports from the 2004 and 2005 Status of Forces Survey of Reserve Component Members (SOFS-R) and those from administrative data

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  • Approaches to Disaster Management regards critical disaster management issues. Ten original research reports by international scholars centered on disaster management are organized into three general areas of hazards and disaster management. The first section includes discussions of perspectives on vulnerability and on evolving approaches to mitigation. The second section highlights approaches to improve data use and information management in several distinct applications intended to promote prediction and communication of hazard.

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  • One of the more promising processes for the energetic transformation of waste is the anaerobic digestion of the Organic Fraction of Municipal Solid Waste. An experimental campaign was carried out on three different samples of OFMSW from Waste Separation, one as received and two obtained after mechanical treatment: OFMSW slurry (liquid fraction) and OFMSW Waste. Anaerobic Biogasification Potential and anaerobic digestion tests were carried out, investigating the effects of inoculum and pH. The OFMSW Waste was also examined to evaluate the possibility to dispose of it in a landfill.

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  • This chapter presents the use of charts to present data and the initial exploration of data using tools like cross-tabulation. After reading this chapter, you should understand: That exploratory data analysis techniques provide insights and data diagnostics by emphasizing visual representations of the data; how cross-tabulation is used to examine relationships involving categorical variables, serves as a framework for later statistical testing, and makes an efficient tool for data visualization and later decision-making.

    ppt33p estupendo4 24-08-2016 34 2   Download

  • Credit market depth and income inequality in Vietnam: A panel-data analysis. Financial development could exert various effects on income distribution of a country. By employing Generalized Method of Moment, this paper aims at examining the impacts of credit market depth, one of most used financial development barometers, on income inequality in Vietnam.

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  • In this topic, we will examine code to determine the run time of various operations. We will introduce machine instructions, we will calculate the run times of: operators +, -, =, +=, ++, etc; control statements if, for, while, do-while, switch; functions; recursive functions.

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  • In this lecture we will continue our study of trees by examining a few special kinds of trees. This topic quickly looks at a generalization of a binary tree, where each node has up to N children: Definition, perfect N-ary trees, complete N-ary trees, implementation using templates.

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  • Bilateral trade balance of bangladesh with BRICS countries: A static panel data analysis. This paper explores the phenomenon of gravity modeling to examine the crucial relationships between the trade balances of Bangladesh with BRICS countries. Specifically, the relativ.

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  • Although the last decade has witnessed social networking sites of varied flavors, Facebook’s user growth continues to balloon, and relatedly, Facebook remains popular among the college populace. While there has been a growing body of work on ascertaining antecedents of Facebook use among college students, Collège d'enseignement général et professionnel (CEGEP) students’ acceptance of Facebook remains underexplored. The purpose of this study was to analyze CEGEP students’ acceptance of Facebook using the technology acceptance model (TAM).

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