Data Analysis Descriptive Statistics‚ Estimation‚ Regression & Correlation Treatment Effects of a Drug on Cognitive Functioning in Children with Mental Retardation and ADHD Hossam Elhowary MATH-1016-15 Dr. Maria DeLucia December 09‚ 2014 Introduction The purpose of this survey was to investigate the cognitive effects of stimulant medication in children with mental retardation and Attention-Deficit/Hyperactivity Disorder. Twenty four children were given various dosage of a drug a placebo and
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Patrick Cunningham ITM220-J November 8‚ 2013 Big Data Big Data‚ an inspirational novel about the collection and processing of massive amounts of data was eye-opening and encouraging. This collection of data over a long period of time has been processed and used towards many different aspects throughout the world. Dilemmas such as tracking the H1N1 virus‚ to buying the most inexpensive plane tickets‚ all the way to predicting dangerous manholes explosions have all been processed and tabulated
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SPECIAL REPORT Big Data AnalyticsDeep Dive Deriving Meaning From the Data Explosion © Copyright InfoWorld Media Group. All rights reserved. Sponsored by i Big Data AnalyticsDeep Dive Making sense of big data New analysis tools and abundant processing power unlock critical insights from unfathomable volumes of corporate and external data i By David S. Linthicum THE ABILITY TO DERIVE MEANING quickly from huge quantities of structured and unstructured data has been an objective
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Overview: Chapter 2 Data Mining for Business Intelligence Shmueli‚ Patel & Bruce Core Ideas in Data Mining Classification Prediction Association Rules Data Reduction Data Visualization and exploration Two types of methods: Supervised and Unsupervised learning Supervised Learning Goal: Predict a single “target” or “outcome” variable Training data from which the algorithm “learns” – value of the outcome of interest is known Apply to test data where value is not known and will be predicted
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number of articles on “big data”. Examine the subject and discuss how it is relevant to companies like Tesco. Introduction to Big Data In 2012‚ the concept of ‘Big Data’ became widely debated issue as we now live in the information and Internet based era where everyday up to 2.5 Exabyte (=1 billion GB) of data were created‚ and the number is doubling every 40 months (Brynjolfsson & McAfee‚ 2012). According to a recent research from IBM (2012)‚ 90 percent of the data in the world has been
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Methodology Introduction The aim of this chapter is to present and discuss the methodology applied to the research of this dissertation. It has been identified in the literature review that there is still a lack of data regarding festival experience and the underlying motives behind attending a festival. In order to gain a deeper insight into festival attendee motives the researcher will focus on the popular Tomorrowland Festival to identify the motivations of attendees and how the overall production
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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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argued that Big Data can impact the society in various ways. Studies (e.g. Ranadive‚ 2014; Schonberger & Cukier‚ 2013; Bustamante et al.‚ 2013) have suggests that big data can greatly and positively impact the society. It can positively impact the educational and medical fields‚ solve seemingly intractable problems that people experience‚ and impact on the professional sports. Big data are social construction and neutral elements of reality. Butte et al. (2013) argues that Big data can be used an
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Research Design Content analysis is a process in which narrative data are divided into units of analysis to examine the contents of a particular body of material for the purpose of identifying patterns‚ themes or biases (Leedy and Ormrod‚ (2005). Further‚ qualitative content analysis has been defined in other ways such as: • “a research method for the subjective interpretation of the content of text or [narrative] data through the systematic classification process of coding and identifying
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BSA/310 Analytics of Data Analytics of data allows you to inspect big data‚ to uncover pattern and other information‚ which can be transformed into useful information to help decision making easier. You can approach data analytics though multiple avenues by using different diverse techniques. The analytics of data is relevance to this week’s assignment‚ because for the past few weeks our team has collected and store data on Riordan Manufacturing‚ we now need to analyze the data. We have been tasked
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