project. In primary data collection‚ we collect the data ourselves by using methods such as interviews and questionnaires. The key point here is that the data we collect is unique to us and our research and‚ until we publish‚ no one else has access to it. There are many methods of collecting primary data and the main methods include: • QUESTIONNAIRES • INTERVIEWS • FOCUS GROUP INTERVIEWS • SURVYES • OBSERVATION • DIARIES • ANALYSING THE DATA The primary data‚ which is generated by
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Collecting‚ Reviewing‚ and Analyzing Secondary Data WHAT IS SECONDARY DATA REVIEW AND ANALYSIS? Secondary data analysis can be literally defined as second-hand analysis. It is the analysis of data or information that was either gathered by someone else (e.g.‚ researchers‚ institutions‚ other NGOs‚ etc.) or for some other purpose than the one currently being considered‚ or often a combination of the two (Cnossen 1997). If secondary research and data analysis is undertaken with care and diligence
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Data Analysis and Decision Help Session 5 Fall 2013 P1 Chi-square Test Goodness of Fit A marketing company thinks that the proportion of people who prefer to get their news from different sources are the following: 25% from the TV‚ 43% from the Internet‚ 7% from the radio and 25% from the newspaper. In order to test their claim‚ they collect the following data: Source Internet Radio Newspaper Count TV 45 56 10 38 Can we be reasonably certain that their
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DRISHAN SENGUPTA (MB-1122) PROBLEM Take a time series data of reasonable length on any financial variable of your interest. Instead of real time series‚ you may as well consider a time series of artificially generated (i.e.‚ simulated) data such that the DGP of the series incorporates‚ inter alia‚ volatility. i. Plot the data and comment on its nature. Check also if the time series is stationary
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heart rate and blood pressure under different conditions. In Figure 1‚ the blood pressure data of an individual female in very good condition is shown under the effect of posture. Figure 2 shows the blood pressure data of the same well-trained female under the effect of exercise. The individual data in both figures 1 and 2 fell outside the standard error of the mean for the class. Figure 3 shows the class data (N=335±3) for blood pressure under the condition of exercise. The effects of gender‚ weight
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Data Warehousing and Data mining December‚ 9 2013 Data Mining and Data Warehousing Companies and organizations all over the world are blasting on the scene with data mining and data warehousing trying to keep an extreme competitive leg up on the competition. Always trying to improve the competiveness and the improvement of the business process is a key factor in expanding and strategically maintaining a higher standard for the most cost effective means in any
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ociety’s Use of Quantitative Models Serita A Riggens MSA 640 Quantitative Applications in Decision-Making Central Michigan University Instructor: Dr. Howard E Van Auken August 11‚ 2010 Society’s use of Quantitative Methods The use of quantitative models in real-world decision making is a practice that has become the norm in society. Decision makers have searched continually for ways to reduce or eliminate the uncertainties in the decision making process. For decades
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Alternative “C” Economic Analysis * Contains: 1. Tangible Benefits Worksheet 2. One Time Cost Worksheet 3. Recurring Cost Worksheet 4. Discount rates * Used to create Cost/Benefit Analysis Spreadsheets for possible alternative solutions. Cost/Benefit Analysis spreadsheet is located in doc sharing. * Description of Alternative C – Nova Corporation. (see page 151 in the book) 1. Industry Leader in CRM solutions 2. Large and complex 3. Pricing only based on
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November 2011 Security Techniques for Protecting Data in Cloud Computing Venkata Sravan Kumar Maddineni Shivashanker Ragi School of Computing Blekinge Institute of Technology SE - 371 79 Karlskrona Sweden i This thesis is submitted to the School of Computing at Blekinge Institute of Technology in partial fulfillment of the requirements for the degree of Master of Science in Software Engineering. The thesis is equivalent to 40 weeks of full time studies. Contact Information: Author(s): Venkata Sravan
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Data Warehouses and Data Marts: A Dynamic View file:///E|/FrontPage Webs/Content/EISWEB/DWDMDV.html Data Warehouses and Data Marts: A Dynamic View By Joseph M. Firestone‚ Ph.D. White Paper No. Three March 27‚ 1997 Patterns of Data Mart Development In the beginning‚ there were only the islands of information: the operational data stores and legacy systems that needed enterprise-wide integration; and the data warehouse: the solution to the problem of integration of diverse and often redundant
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