Data Collection and Analysis The research project chosen was the comparison of the 12 ounce cans of Pepsi and Coke. The research team of five‚ individually purchased and tested 3 cans each of Pepsi and Coke. Enclosed below will be the procedure which was followed to obtain the data. The methodology used to measure the liquid was changed to accommodate the way that the tools recorded the measurements. The implications of the changes will be discussed to show that the integrity of the process was
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Rajkaran Singh‚ Amandeep Submitted to: Prof. David Dobson Date Submitted: November 12‚ 2013 Date Due: November 12‚ 2013 BUS – 320 Business Research Methods Research Analysis – Environmental Sustainability of Hotel Industry TABLE OF CONTENTS 1. List of Statistical Techniques…………………………………………………………………………………………..3 2. Purpose of using the Statistical techniques…………………………………………………………………….4 3. Tab Plan………………………………………………………………………………………………………………………….5 4. Analysis and Interpretation……………………………………………………………………………………………
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Data warehousing and OLAP Swati Vitkar Research Scholar‚ JJT University‚ Rajasthan. Abstract: Data warehousing and on-line analytical processing (OLAP) are essential elements of decision support‚ which has increasingly become a focus of the database industry. Many commercial products and services are now available‚ and all of the principal database management system vendors now have offerings in these areas. Decision support places some rather different requirements on database technology compared
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System Based On Web Data Mining for Personalized E-learning Jinhua Sun Department of Computer Science and Technology Xiamen University of Technology‚ XMUT Xiamen‚ China jhsun@xmut.edu.cn Yanqi Xie Department of Computer Science and Technology Xiamen University of Technology‚ XMUT Xiamen‚ China yqxie@xmut.edu.cn Abstract—In this paper‚ we introduce a web data mining solution to e-learning system to discover hidden patterns strategies from their learners and web data‚ describe a personalized
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The Evolution of Data Models The quest for better data management has led to different models that attempt to resolve the file system’s critical shortcomings. Because each data model evolved from its predecessors‚ it is essential to examine the major data models in roughly chronological order. 1.1 The Hierarchical Model A Hierarchical Database Model is a data model in which the data is organized into a tree-like structure. The structure allows representing information using parent/child relationships:
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a p t e r 7 MANAGING DATA RESOURCES 7.1 © 2002 by Prentice Hall LEARNING OBJECTIVES • COMPARE TRADITIONAL FILE ORGANIZATION & MANAGEMENT TECHNIQUES • DESCRIBE HOW DATABASE MANAGEMENT SYSTEM ORGANIZES INFORMATION * 7.2 © 2002 by Prentice Hall LEARNING OBJECTIVES • IDENTIFY TYPES OF DATABASE‚ PRINCIPLES OF DATABASE DESIGN • DISCUSS DATABASE TRENDS * 7.3 © 2002 by Prentice Hall MANAGEMENT CHALLENGES • TRADITIONAL DATA FILE ENVIRONMENT • DATABASE APPROACH TO DATA MANAGEMENT • CREATING DATABASE
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National data of education The starting point for the creation of an event-history database is the source registers for official statistics. Within education the three files mentioned above (enrolments‚ graduates and attainment) are arranged for the purpose of making them comparable over time. New data are merged with old data and classification variables are compared one by one. All changes for each classification variable is assigned with dates and coded as gains or loss records by a set
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Fig.1. Example of Embedded System 1.2 AIM OF THE PROJECT: This project is to design a data acquisition system through PC. 1.3 SIGNIFICANCE OF THE WORK: The purpose of the project is to design a data acquisition system through PC. The main objective of this project is to design a data acquisition system through PC. PC based wireless data acquisition
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CHAPTER 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence CONTACT INFORMATION: Stephen Haag is the primary author of this chapter. If you have any questions or comments‚ please direct them to him at shaag@du.edu. THIS CHAPTER/MODULE IN SHORT FORM… This chapter introduces your students to the vitally important role of information in an organization and the various technology tools (databases‚ DBMSs‚ data warehouses‚ and data-mining tools) that facilitate the management
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Material Data Collection and Analysis Grid Use the two articles assigned by your facilitator to identify the following data collection‚ analysis‚ and measurement elements for the studies. Limit each box to no more than three sentences. | |Qualitative |Quantitative | |Data collection methods |Purposeful sampling was used to select the |A ramdomized control trial was used
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