Name: Class: AEI-B Student Number: Graded Writing Assignment 1 – Data Commentary – Chart #5 According to a chart created by using the IMF DataMapper‚ the real per capita GDP of several Asian countries has risen since 2008 and will continue to rise. Despite this similarity‚ the Asian countries in the chart can be divided into four groups. The data in the chart indicates that Malaysia is moderately distinguished among other Asian countries. Since 2008‚ it has become the highest per
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Inferences for One Population Standard Deviation The Standard deviation is a measure of the variation (or spread) of a data set. For a variable x‚ the standard deviation of all possible observations for the entire population is called the population standard deviation or standard deviation of the variable x. It is denoted σx or‚ when no confusion will arise‚ simply σ. Suppose that we want to obtain information about a population standard deviation. If the population is small‚ we can often determine
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SMS CUSAT Reading Material on Data Mining Anas AP & Alex Titty John • What is Data? Data is a collection of facts and information or unprocessed information. Example: Student names‚ Addresses‚ Phone Numbers etc. • What is a Database? A structured set of data held in a computer which is accessible in various ways. Example: Electronic Address Book‚ Phone Book. • What is a Data Warehouse? The electronic storage of large amount of data by business. Concept originated in
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Components of DSS (Decision Support System) Data Store – The DSS Database Data Extraction and Filtering End-User Query Tool End User Presentation Tools Operational Stored in Normalized Relational Database Support transactions that represent daily operations (Not Query Friendly) Differences with DSS 3 Main Differences Time Span Granularity Dimensionality Operational DSS Time span Real time Historic Current transaction Short time frame Long time frame Specific Data facts Patterns Granularity Specific
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ict policy Data Protection ICT/DPP/2010/10/01 1. Policy Statement 1.1. Epping Forest District Council is fully committed to compliance with the requirements of the Data Protection Act 1998 which came into force on the 1st March 2000. 1.2. The council will therefore follow procedures that aim to ensure that all employees‚ elected members‚ contractors‚ agents‚ consultants‚ partners or other servants of the council who have access to any personal data held by or on behalf of the
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quantitative data — information dealing with numbers and anything that is measurable e.g. Statistics‚ tables and graphs‚ are often used to present the results of these methods. Quantitative research methods were originally developed in the natural sciences to study natural phenomena. However examples of quantitative methods now well accepted in the social sciences and education. Differences between parametric and non parametric methods Parametric method Non parametric Assumes data comes from
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DATA COMMUNICATION & NETWROKING COMP 310 ASSIGNMENT #2 ST.GEORGE’S UNIVERSITY LEOPOLDO PIRELA DUE DATE: SEPTEMBER 21ST‚ 2013 What is the phase shift for the following? a. A sine wave with the maximum amplitude at time zero b. A sine wave with maximum amplitude after 1/4 cycle c. A sine wave with zero amplitude after 3/4 cycle and increasing Solution: a. There is no phase shift at time zero b. (¼) 360 = 90 90 x 2π / 360 = 1.57 rad c. (¾) 360 = 270 270 x 2π / 360 = 4. 7 rad
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com/locate/eswa Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty Seyed Mohammad Seyed Hosseini *‚ Anahita Maleki‚ Mohammad Reza Gholamian Industrial Engineering Department‚ Iran University of Science and Technology‚ Tehran‚ Iran a r t i c l e i n f o a b s t r a c t Data mining (DM) methodology has a tremendous contribution for researchers to extract the hidden knowledge and information which have been inherited in the data used by researchers
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absence effectively‚ focusing on employee well-being. How I analysed and interpreted data The attached graph has been taken from a Hotel’s absence/sickness levels. I have looked at each department’s sickness records and figures from the last financial year 2012. After analysing the organisations sickness over the last 12 months and having taken figures from monthly HR records‚ I have interpreted the data and devised a graph. Each line on the graph shows the amount of days off sick each department
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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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