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    Data Collection Method

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    the researcher used Quantitative data collection methods. Using qualitative data collection method‚ it rely on random sampling and structured data collection instruments that fit diverse experiences into predetermined response categories. They produce results that are easy to summarize‚ compare‚ and generalize. Quantitative research is concerned with testing hypotheses derived from theory and/or being able to estimate the size of a phenomenon of interest. Depending on the research question‚ participants

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    Common Language Errors

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    1 Common Language Errors Activity Booklet 2 DESCRIPTION: Each of the following worksheets will help you learn and avoid common language errors. Making any of these errors in a writing assignment would cause you to lose marks. DIRECTIONS: Read each worksheet carefully and write the activities in your notebook or on lined paper. DO NOT write in this booklet! Please note that in the case of paragraph activities‚ you do not need to rewrite the whole paragraph. Once you have completed

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    Common Ethical Traps

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    Questions Five Common Ethical Traps Try explain the following Traps in your own way. The false-necessity trap The doctrine-of-relative-filth trap The rationalization trap The self-deception trap The ends-justify-the-means trap Think of a situation for each trap in your workplace Which is which? This is normally used to comment on the ethics or morality of what is done. By itself‚ it might be reprehensible. But as the only method to achieve a goal‚ it could be acceptable on a practical basis. A

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    Data Communications Notes

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    Characteristics and quality of data transmission – Dependent on characteristics of medium and signal – Guided medium ∗ Medium is more important in setting transmission parameters – Unguided medium ∗ Bandwidth of the signal produced by transmitting antenna is important in setting transmission parameters ∗ Signal directionality · Lower frequency signals are omnidirectional · Higher frequency signals can be focused in a directional beam • Design of data transmission system – Concerned with data rate and distance

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    Data Envelopment Analysis

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    Chapter 12 Data Envelopment Analysis Data Envelopment Analysis DEA is an increasingly popular management tool. This write-up is an introduction to Data Envelopment Analysis DEA for people unfamiliar with the technique. For a more in-depth discussion of DEA‚ the interested reader is referred to Seiford and Thrall 1990 or the seminal work by Charnes‚ Cooper‚ and Rhodes 1978 . DEA is commonly used to evaluate the e ciency of a number of producers. A typical statistical approach is characterized

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    Data Flow Diagram

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    Assignment 6 Pg 305 2. What is a data flow diagram? Why do systems analysts use data flow diagrams? Answers:  A picture of the movement of data between external entities and the processes and data stores within a system.  Systems analysts use DFDs to help in the analysis phase by accomplishing the following three things: 1. Requirements Determination 2. Requirements Structuring 3. Alternative Generation and Selection 3. Explain the rules for drawing good data flow diagrams. Answers: Process: A

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    Architecture of data warehouse Operations Conceiving data as a cube with hierarchical dimensions leads to conceptually straightforward operations to facilitate analysis. Aligning the data content with a familiar visualization enhances analyst learning and productivity.[5] The user-initiated process of navigating by calling for page displays interactively‚ through the specification of slices via rotations and drill down/up is sometimes called "slice and dice". Common operations include

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    mmTASK 1 a) Explain the following types of data communication networks and their applications * Public switched telephone network (PSTN) * Local area networks (LANs) * Metropolitan area networks (MANs) * Wide area networks (WANs) * Packet switched data network (PSDN)‚ * Integrated services digital network (ISDN) Public switched telephone network (PSTN) Public Switched telephone network (PSTN) is the global collection of interconnects originally designed to

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    Kernel Data Structures

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    Kernel Data Structures Umair Hussain Malik p10-6016 p106016@nu.edu.pk As with any large software project‚ the Linux kernel provides these generic data structures and primitives to encourage code reuse. Kernel developers should use these data structures whenever possible and not “roll your own” solutions. In the following sections‚ we cover the most useful of these generic data structures‚ which are the following: * Linked lists * Queues * Maps * Binary trees Linked Lists

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    Data Flow Diagram

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    Using Data Flow Diagrams Data flow diagram is used by system analyst to put together a graphical representation of data processes throughout the organization. It depicts the broadest possible overview of system inputs‚ processes‚ and outputs. A series of layered data flow diagrams may be used to represent and analyze detailed procedures in the larger system. By using combinations of only four symbols‚ the system analyst can create a pictorial depiction of processes that will eventually provide

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