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    Secondary Data

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    Collecting‚ Reviewing‚ and Analyzing Secondary Data WHAT IS SECONDARY DATA REVIEW AND ANALYSIS? Secondary data analysis can be literally defined as second-hand analysis. It is the analysis of data or information that was either gathered by someone else (e.g.‚ researchers‚ institutions‚ other NGOs‚ etc.) or for some other purpose than the one currently being considered‚ or often a combination of the two (Cnossen 1997). If secondary research and data analysis is undertaken with care and diligence

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    Dimensional analysis of models and data sets James F. Pricea) Woods Hole Oceanographic Institution‚ Woods Hole‚ Massachusetts 02543 Received 22 May 2002; accepted 4 November 2002 Dimensional analysis is a widely applicable and sometimes very powerful technique that is demonstrated here in a study of the simple‚ viscous pendulum. The first and crucial step of dimensional analysis is to define a suitably idealized representation of a phenomenon by listing the relevant variables‚ called the physical

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    Data Types

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    Dynamic Dependency Analysis of Ordinary Programs 1 Todd M. Austin and Gurindar S. Sohi Computer Sciences Department University of Wisconsin-Madison 1210 W. Dayton Street Madison‚ WI 53706 faustin sohig@cs.wisc.edu A quantitative analysis of program execution is essential to the computer architecture design process. With the current trend in architecture of enhancing the performance of uniprocessors by exploiting ne-grain parallelism‚ rst-order metrics of program execution‚ such as operation frequencies

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    Data Mining

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    Data Mining Abdullah Alshawdhabi Coleman University Simply stated data mining refers to extracting or mining knowledge from large amounts of it. The term is actually a misnomer. Remember that the mining of gold from rocks or sand is referred to as gold mining rather than rock or sand mining. Thus‚ data mining should have been more appropriately named “knowledge mining from data‚” which is unfortunately somewhat long. Knowledge mining‚ a shorter term‚ may not

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    Primary Data

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    project. In primary data collection‚ we collect the data ourselves by using methods such as interviews and questionnaires. The key point here is that the data we collect is unique to us and our research and‚ until we publish‚ no one else has access to it. There are many methods of collecting primary data and the main methods include: • QUESTIONNAIRES • INTERVIEWS • FOCUS GROUP INTERVIEWS • SURVYES • OBSERVATION • DIARIES • ANALYSING THE DATA The primary data‚ which is generated by

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    ACCEPTANCE SAMPLING SUBMITTED BY VEENA M ANU SANKAR NK VIPIN R ABSTRACT Acceptance sampling may be applied where large quantizes of similar items or large batches of material being bought or are being bought or are being transferred from one part of organization to another. Unlike statistical process control where the purpose is to check production as it proceeds‚ acceptance sampling is applied to large batches of goods which have already been produced. Acceptance sampling is a method

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    Chapter 15 Audit Sampling for Tests of Transactions Key objectives: 1. Explain the concept of representative sampling. 2. Distinguish between statistical and nonstatistical sampling. 4. Define and describe audit sampling for exception rates. 5. Use nonstatistical sampling in tests of controls and substantive tests of transactions. 6. Define and describe attribute sampling and a sampling distribution. 7. Use attribute sampling in tests of controls and substantive tests of transactions

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    Acc 561 Final Exams Help

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    acc 561 final exams help FOR ANSWERS Visit: http://finalexamguideline.com/ACC-561-FINAL-EXAM-2-08.htm ) According to the Financial Executives Institute‚ one function of controllership is _____. 2) Performance reports _____. 3) Budgets _____. 4) Ethical accountants are important to society because _____. 5) According to the Institute of Management Accountants’ Statement of Ethical Professional Practice‚ the standard of competence includes: 6) According to the Institute of

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    Data Quality

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    PRINCIPLES OF DATA QUALITY Arthur D. Chapman1 Although most data gathering disciples treat error as an embarrassing issue to be expunged‚ the error inherent in [spatial] data deserves closer attention and public understanding …because error provides a critical component in judging fitness for use. (Chrisman 1991). Australian Biodiversity Information Services PO Box 7491‚ Toowoomba South‚ Qld‚ Australia email: papers.digit@gbif.org 1 © 2005‚ Global Biodiversity Information Facility Material

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    big data

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    an era of big data‚ this data-driven world has the potential to improve the efficiencies of enterprises and improve the quality of our lives; however‚ there are a number of challenges that must be addressed to allow us to exploit the full potential of big data. This paper focuses on challenges faced by online retailers when making use of big data. With the provided examples of online retailers Amazon and eBay‚ this paper addressed the key challenges of big data analytics including data capture and

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