Question 1: Data Model/Database Model Flat file Flat file data model is model where data was store as a plain text file in a single table. Each line of the table hold each record with field and it is separated by commas or tabs. It cannot contain multiple tables like relational database. All the data stored by flat file, a computer file system will be store in a single
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\subsubsection{True} First at all we consider the scenario in which a user downloads \emph{true} data on Storage Manager. A user who wants to get a data \emph{i} belonging to Level \emph{j}, accessing with the true password for that level. The Storage Manager verifies the user's credentials contacting the Password Cache Repository. He accesses to the desidered level and then he uploads two files: a true one and a fake one. The fake data are required to make possible the deniable encryption. Then he sends files to the
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Learning Journal Reflective Comments: Thursday, 08, September 2016 This day, I learnt how to sample data (using either random sampling or cluster sampling). This has enable me to know why two samples that have the characteristics of a population are most probably different but produce the same result. I also learnt about the two types of data-qualitative data or factor and quantitative data or numeric. Now I know why numerical technique are applied to numeric value as they are numbers and cannot
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3. MATERIALS AND METHODS 3.1 STUDY DESIGN: The research design of this study is an experimental design. 3.2 STUDY SETTING: Data will be collected for this study from outpatient department (OPD), Department of physiotherapy, Lovely Professional University campus. 3.3 POPULATION AND SAMPLING: The subjects will be taken as planter fasciitis patient, who will be reported in the outpatient department of physiotherapy of Lovely Professional University. SAMPLING METHOD: Convenient sampling. SAMPLE
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to health data and privacy has caused a dramatic increase in the types of microdata, and this directs great expectations for health services research. Legislative attempts to protect individual privacy reduces the flow of health care data for research purposes and increases costs and delays, and this affects the quality of analysis. The journal provides a summary of the challenges that data confidentiality raises concerning health services research, the current methods used to ensure data security
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| | | |Understand what data needs to be collected to support HR practices. | |Know how HR data should be recorded, managed and stored. | |Be able to analyse HR information and present findings
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function of Data Analysis tool in Excel. When the tool is installed, the steps are: Data/Data Analysis/Random Number Generator. Here are the definitions of the input variables taken from Excel Help: Number of Variables Enter the number of columns of values that you want in the output table. If you do not enter a number, Microsoft Office Excel fills all columns in the output range that you specify. Number of Random Numbers Enter the number of data points that you want to see. Each data point appears
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difference between information and data? How are they defined? Is one better than another when it comes to research? Provide examples of each. When I first read this message the first thought I had in mind were both can be the same or can be different depending on how you look at them. I can argue that both are the same because data is information and information consists of data. Then I look closer and give it some thoughts then there is a little difference between data and information. According
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People's Republic of Banglades: In Bangladesh, a draft Bill on Information and Communication Technology has been introduced in the Parliament. The final report on the Law on Information Technology was approved by the Office of the Law Commission in its meeting dated 08.09.2002. The Proposal: Chapter VII on Penalties and Adjudication and Chapter IX on Offences includes some cybercrime provisions that prohibits attacks or unauthorized access to computers and computer systems. Chapter IX:
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The relationship between data and information is an interconnected one. Data is raw facts such as phone numbers or addresses, and information is the organization of these raw facts into a meaningful manner. The information may be well organized on a report or table and yet not always be meaningful to all people. There are different ways to arrange data to make it meaningful for different people. For example, one person might be satisfied with information that shows him or her towns in which their
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