Data transmission‚ digital transmission‚ or digital communications is the physical transfer of data (a digital bit stream) over a point-to-point or point-to-multipoint communication channel. Examples of such channels are copper wires‚ optical fibres‚ wireless communication channels‚ and storage media. The data are represented as an electromagnetic signal‚ such as an electrical voltage‚ radiowave‚ microwave‚ or infrared signal. Data representation can be divided into two categories: Digital
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Handling Consumer Data Introduction When I visit my local Caltex Woolworths petrol station on “cheap fuel Wednesday” to cash in the 8c per litre credit that my Wife earned the previous Friday buying the groceries with our “Everyday Rewards” card‚ I did not‚ until researching this report‚ have any clue as to the contribution I was making to a database of frightening proportions and possibilities… nor that‚ when I also “decide” to pick up the on-sale‚ strategically-placed 600mL choc-milk‚ I am
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The data protection principles There are eight data protection principles that are central to the Act. The Company and all its employees must comply with these principles at all times in its information-handling practices. In brief‚ the principles say that personal data must be: 1. Processed fairly and lawfully and must not be processed unless certain conditions are met in relation to personal data and additional conditions are met in relation to sensitive personal data. The conditions are
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Associate Level Material Comparative Data Resource: Ch. 14 of Health Care Finance Complete the following table by writing responses to the questions. Cite the sources in the text and list them at the bottom of the table. What criterion must be met for true comparability? | True comparability needs to meet three criteria: consistency‚ verification and unit measurement. (Baker & Baker‚ 2012) | What elements of consistency should be considered? Provide an example. | The elements
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Data Anomalies Normalization is the process of splitting relations into well-structured relations that allow users to inset‚ delete‚ and update tuples without introducing database inconsistencies. Without normalization many problems can occur when trying to load an integrated conceptual model into the DBMS. These problems arise from relations that are generated directly from user views are called anomalies. There are three types of anomalies: update‚ deletion and insertion anomalies. An update anomaly
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Be Data Literate – Know What to Know by Peter F. Drucker Executives have become computer literate. The younger ones‚ especially‚ know more about the way the computer works than they know about the mechanics of the automobile or the telephone. But not many executives are information-literate. They know how to get data. But most still have to learn how to use data. Few executives yet know how to ask: What information do I need to do my job? When do I need it? In what
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into the Workers’ Compensation (WC) actuarial model workbook. Payroll data for the WC model should contain “only the actual hours worked” for specific Rate Schedule Codes (RSC) groups‚ including executives. The WC payroll data should exclude all paid leave types. A comparison of work hours from the NPHRS mainframe report to the summary in EDW reveals very small differences. We hope to align the NPHRS and EDW work hour data. Also‚ we (Technical Analysis‚ Accounting and Finance) need to understand
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Table of Contents 1. VARIABLES- QUALITATIVE AND QUANTITATIVE......................3 1.1 Qualitative Data (Categorical Variables or Attributes) ........................... 3 1.2 Quantitative Data............................................................................................... 4 DESCRIPTIVE STATISTICS.................................................6 2.1 Sample Data versus Population Data ................................................................... 6 2.2 Parameters and Statistics
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1) ________ is data that has been organized or presented in a meaningful fashion. 1) _______ A) A number B) Information C) A symbol D) A character 2) Which of the following is NOT one of the four major data-processing functions of a computer? 2) _______ A) storing the data or information B) gathering data C) analyzing the data or information D) processing data into information
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UNCLASSIFIED UNCLASSIFIED 1 Open Data Strategy June 2012 UNCLASSIFIED UNCLASSIFIED 2 Contents Summary ................................................................................................... 3 Introduction ................................................................................................ 5 Information Principles for the UK Public Sector ......................................... 6 Big Data .......................................................................
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