MEAN SCORE Descriptive Statistics N Mean Std.Deviation Discount 196 1.38 .672 Gift Coupon 196 1.47 .603 Free tour 196 1.91 .929 Cash back 196 1.44 .634 Price 196 1.54 .753 Quality 196 1.44 .592 Quantity 196 1.58 .715 Varity 196 1.68 .609 Brand 196 1.66 .641 Durability 196 1.94 .732 Availability 196 2.04 .902 Promotion Scheme 196 2.24 .944 Advertisement 196 2.10 .871 Promotional scheme of Berger paint is very attractive. 196 1.99 .791
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of Department Principal External Examiner PROJECT REPORT ON “” GROUP MEMBERS:- UNDER THE GUIDANCE OF Customer Data Entry 1 ACKNOLEDGEMENT It gives us great pleasure in presenting this project titled “CUSTOMER DATA ENTRY”
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research and the astounding results have provided and continue to provide our modern society with answers about both crime and its causes and social issues. These findings are used daily by a wide cross section of society to improve every facet of our lives (Department of Criminology 2010). Today’s researchers are competent and use a variety of research methods‚ often together to change a research finding into a valuable insight that influences a decision (Department of Criminology 2010). Consequently
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of the product. Embedded systems are often mass-produced‚ benefiting from economies of scale. Personal digital assistants (PDAs) or handheld computers are generally considered embedded devices because of the nature of their hardware design‚ even though they are more expandable in software terms. This line of definition continues to blur as devices expand. With the introduction of the OQO Model 2 with the Windows XP operating system and ports such as a USB port — both features usually belong to
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Qantas Data Book 2012 DISCLAIMER The information contained in this investor Data Book is intended to be a general summary of Qantas Airways Limited (Qantas/Qantas Group) and its activities as at 17 October 2012 or otherwise the date specified in the relevant information and does not purport to be complete in any respect. The information in this document is not advice about shares in Qantas (or any other financial product)‚ nor is it intended to influence‚ or be relied upon by‚ any person in
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CRS Web Data Mining: An Overview Updated December 16‚ 2004 Jeffrey W. Seifert Analyst in Information Science and Technology Policy Resources‚ Science‚ and Industry Division Congressional Research Service ˜ The Library of Congress Data Mining: An Overview Summary Data mining is emerging as one of the key features of many homeland security initiatives. Often used as a means for detecting fraud‚ assessing risk‚ and product retailing‚ data mining involves the use of data analysis tools
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on their Accounting Information Systems? If a company has adequate security controls in place then they should not be held liable for losses sustained in a successful attack made on their Accounting Information System (AIS) by outside sources. If a company is negligent about security controls then they should be held liable for losses sustained in a successful attack on their AIS. There are a variety of sources that threaten accounting information
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Introduction This report will give an overview of the aim behind collecting data‚ types of data collected‚ methods used and how the collection of the data supports the department’s practices. It will also give a brief outlook on the importance of legislation in recording‚ storing and accessing data. Why Organisations Need to Collect Data * To satisfy legal requirement: every few months there is some request from the government sector to gather‚ maintain and reports lots of information back
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METHODS OF DATA COLLECTION BY ADEDOYIN SAMUEL ADEBAYO INTERNATIONAL BLACK SEA UNIVERSITY TBILISI - GEORGIA MA IN EDUCATION STUDENT NO:12500151 LECTURER: PROF. IRINA BAKHTADZE METHODS OF COLLECTING DATA Introduction: Data Collection is an important aspect of any type of research study. Inaccurate data collection can impact the results of a study and ultimately lead to invalid results. Data collection methods for impact evaluation vary along a continuum. At the one end
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Oracle Fusion Applications Using External Data Integration Services Table of Contents Introduction 4 External Data Integration Services: Overview 4 Integration Points to consider 5 Locating File Import Templates: Explained 5 Prepare Data Files 6 Data Integration using Manual Flow 7 File for Import and Export: Highlights 7 File for Import and Export: Explained 8 Load Interface File for Import Process 10 Importing Data into Application Tables: Procedure 11 Flow Automation using Web Service
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