Basic Business Statistics 11th Edition Chapter 1 Introduction and Data Collection Basic Business Statistics‚ 11e © 2009 Prentice-Hall‚ Inc. Chap 1-1 Learning Objectives In this chapter you learn: How Statistics is used in business The sources of data used in business The types of data used in business The basics of Microsoft Excel The basics of Minitab Basic Business Statistics‚ 11e © 2009 Prentice-Hall‚ Inc.. Chap 1-2 Why Learn Statistics? So you are
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Troy Wilson* suggest a way for preserving and enhancing the value of exploration data E very year explorationists‚ industrywide‚ collect billions of dollars worth of data. Yet‚ when it comes time for geologists to extract value from their information‚ they often find that value has been lost through poor practices in data management. There is no reliable record of the data that has been collected or data is not where it should be - it has been misplaced or corrupted. Re-assembling information
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SOCIOLOGICAL METHODS TYPES OF DATA Sociologists have two types of data available to them: information they have self-generated for their own research purposes (primary data)‚ and already existing data that was not specifically created for sociological purposes (secondary data). Primary data can result from‚ the employment of questionnaires‚ structured‚ semi-structured and unstructured interviews‚ and observation techniques. Secondary data is more or less‚ anything else: statistics produced
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Table of Contents Part 1: General review of data link layer 2 a) Explain the working principles of the data link layer. 2 b) Is controlled access better than contention for media access control? Discuss. 2 c) Why is error detection important in this layer? What is being measured? 3 d) Identify three significant noises that can cause errors in data communication digital circuits. Briefly explain. 3 Part 2: General review of error correction 4 a) Why is cyclical redundancy
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Effective Data Management Strategies and Business Intelligence Tools Keiser University Dr. Thompson MBA 562 April 12‚ 2012 Introduction In today’s society‚ many individuals and companies use smaller and more powerful computing and communication devices. These devices have better connectivity when in both wired and wireless environments‚ and accepted standards for data transfer and presentation. These devices play a major role in the lives of individuals and companies
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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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Data protection & security What is Data Protection and Security ? This is the protection of data such as database from accidental‚ unauthorised or malicious access Data Protection Act Data protection Act controls and monitors the way personal and customer information is been used by organisations. The Data Protection Act 1998 (DPA 1998) is an Act of the UK parliament that defines the ways in which peoples information is been handed. 8 Data Protection Act Principles • Data must be Processed
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A data dictionary is a file that defines the basic organization of a database. A data dictionary has a list of all files in the database‚ the number of records that are in each file‚ the names and types of each field. The data dictionary is hidden from users so that it is not accidentally destroyed. The data dictionary only keeps bookkeeping information and does not actually contain any data from the database. The database management system cannot access data from the database without a data dictionary
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Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture‚ curation‚ storage search‚ sharing‚ transfer‚ analysis and visualization. At multiple TERABYTES in size‚ the text and images of Wikipedia are a classic example of big data. As of 2012‚ limits on the size of data sets that
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Narrative Flow of the Current System a. Flow of Data Figure 1 shows the data flow diagram of the current system where do the Research data on Research Development and Extension come from. First‚ the data will come from the Researcher then they will give it to their adviser‚ next to the Department Coordinator‚ Research Chairman‚ Campus Dean‚ Campus Administrator then it will be sent to Research Development and Extension Office on Capiz State University Main Campus. 1.0 Adviser 2.0 Department
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