ASSIGNMENT 1- BU1007 Question 1 (i) The following data represent the cost of electricity during July 2006 for a random sample of 50 one-bedroom apartment in a large city Electricity Charge ($) | 96 | 157 | 141 | 95 | 108 | 171 | 185 | 149 | 163 | 119 | 202 | 90 | 206 | 150 | 183 | 178 | 116 | 175 | 154 | 151 | 147 | 172 | 123 | 130 | 114 | 102 | 111 | 128 | 143 | 135 | 153 | 148 | 144 | 187 | 191 | 197 | 213 | 168 | 166 | 137 | 127 | 130 | 109 | 139 | 129 | 82 | 165
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3.7.2. Quantitative Data Analysis In this study‚ the quantitative data which was obtained through questionnaire which is used analyzed using descriptive statistics of central tendency measurements and percentages. The data was first coded‚ organized and discussed using mean‚ mode‚ frequency and median. The median will be used to show the central tendency for the ordinal scales and skewness to show the distribution of the population. In addition‚ percentages will be used for the nominal scale especially
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Data Trappers‚ Inc. When examining whether or not B&T should be permitted to serve as the independent auditor of Data Trappers‚ Inc. (DTI)‚ we must first look at what it means to be an independent auditor. For an external auditor to be independent they need to be independent of the company they are auditing in both fact and appearance‚ meaning they have to look as if they aren’t connecting to a company in any way and they must also not actually be connected to a company in any way. As well
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Fig: 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
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Figure 3.0: First Entry Level Data Flow Diagram of Administrator’s Capabilities The figure 3.0 represents the First Entry Level Data Flow Diagram of the Administrator upon successfully logging-in into the Generic Academic Performance Monitoring System. He/she has the capabilities to manage modules such as handling member’s account‚ importing students list‚ creation of grade criteria‚ grade computation and updating website contents Figure 3.1: Second Entry Level Data Flow Diagram on Managing Account
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Analysis of Loan data and relationship with various factors Introduction As we all know the history of loans as old as the history of money. Earlier there used to be different mechanism of lending money and recovering it. In simple terms it was the process in which the people who have more money than they required used to give money to people who didn’t had enough. Over the years with the evolution of economics the loan process became extremely important for the people who made business out of
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LECTURE 7 GRAPHICAL REPRESENTATION OF DATA 1. Pressure versus temperature (P-T) 2. Pressure vs. volume (P-v) 3. Temperature vs. volume (T-v) 4. Temperature vs. entropy (T-s) 5. Enthalpy vs. entropy (h-s) 6. Pressure vs. enthalpy (P-h) The term saturation temperature designates the temperature at which vaporization takes place. For water at 99.6 C the saturation pressure is 0.1 M Pa‚ and for water at 0.1 Mpa‚ the saturation temperature
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Financial Data Analysis Daphnnee Johnson HCS 577 March 18‚ 2013 Sharon Gomes-Sanders Financial Data Analysis After reviewing the balance sheet for Patton-Fuller Hospital for 2008 and 2009‚ there are significant differences that are noticeable. The retained earnings (or "Net Worth" or "Unrestricted Fund Balance") drastically decreased from 2008 to 2009 (Apollo Group‚ 2006). The dollar amount
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Data Depth and Optimization Komei Fukuda fukuda@ifor.math.ethz.ch Vera Rosta rosta@renyi.hu In this short article‚ we consider the notion of data depth which generalizes the median to higher dimensions. Our main objective is to present a snapshot of the data depth‚ several closely related notions‚ associated optimization problems and algorithms. In particular‚ we briefly touch on our recent approaches to compute the data depth using linear and integer optimization programming. Although
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TARGET DATA BREACH 2013/14 Introduction There are many types of breaches that can occur when it comes to secure systems and networks. The target breach of 2013/14 was due to human error. It is said that the company had easily stolen credentials. If there was the necessary secure measures taken‚ this breach could have been stopped. Target did not have an adequate firewall which is why the hackers were able to corrupt the system and steal personal information and credit card information. This whole
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