Your search returned over 400 essays for "data analysis"
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Numerical Data Analysis

- Introduction: To have numerical data is when you measure data that is identified on a number scale. Numerical data is a different way to collect data from categorical data. To have categorical data is when data can be placed into categories that are mutually exclusive such as favorite colors, or even who is your favorite teacher is. Categorical data is way different from numerical data. Numerical data is when data is measured or identified on a numerical scale. A few examples of numerical data are list of people weights, and when your answer has to be numerical....   [tags: Data Analysis]

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River Flow Data Analysis

- Summary: The aim of this report is to analyse the river flow data from the River Severn in 2000 and 2001. The data readings will be taken from the Bewdley station 54001 over the 10 months of each year. The data will be analysed in graphical and statistical format in order to view trends and relationships easier. The results will be displayed as data i.e. either table format of raw data, from this graphs will be constructed to illustrate the various types of data and the way it will be displayed Contents: 1....   [tags: Statistics Data analysis ]

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Secondary Analysis of Qualitative Data

- This essay aims to examine the practice of secondary analysis on qualitative data in terms of barriers to overcome and advantages of its practice. Over the last decades, archives of qualitative data have become widely accessible to research-es and there has been a smaller revolution in the practice of secondary analysis on such data. (Seale, 2004) There are both practical and methodological ad-vantages for researchers to use data that has been collected by others in order to pursue new research....   [tags: reuse of qualitative data]

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Data Analysis Procedures

- 2.4 Data Analysis Procedures Data analysis is the process of bringing order, structure and meaning to the mass of collected data. It is described as messy, ambiguous, time-consuming, creative, and fascinating process but does not proceed in a linear fashion (Marshall and Rossman 1989, p. 112). Data in this study will be analysed using a qualitative content analysis procedure. Hsieh and Shannon (2005, p. 1278) defined qualitative content analysis as a research method for subjective interpretation of the content of text data through systematic classification process of coding and identifying themes or patterns....   [tags: Research Analysis ]

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Corona Data Analysis (CDA)

- Introduction: This case is about Corona Data Analysis (CDA) which processes claims for health insurance. CDA has about 90 employees out of which 75% work in the operations side of the business which is also the side of the business we were hired to consult upon. We were hired by the quality manager, Gordon Yu, who was hired by the CEO, Julieanna Sugumar. Gordon Yu has asked us to analyze the defects per unit, DPU, defects per million units , DPMO, and K-sigma quality levels. He has given us important access to the processing data and the number of errors that were made in 5 different categories including name, ss#, address, claim code, and claim date fields....   [tags: claims, health, insurance, money, business]

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Data Collection and Analysis: Questionnaire

- Data Collection and Analysis Questionnaire The research carried on both quantitative approach and qualitative approach. It began with quantitative approach—questionnaire. Bryman and Bell (2003) asserted that mail or postal questionnaires are most popular forms of questionnaires. Another form—self-completion questionnaire was also common because of the overlap with postal questionnaire to some extent. The questionnaire was self-completion questionnaire which sometimes is named self-administered questionnaire....   [tags: Research Analysis ]

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Data Analysis

- Data Analysis: 6.1: The first lab consisted of pulling a wooden block with a spring scale at a steady rate across four different surfaces. The surfaces were wax paper, paper towel, fine sandpaper, and coarse sandpaper. We had to pull the block across each of these surfaces to determine how much force we need to defeat friction. When I pulled the block over the wax paper, it moved with a small amount of force. Paper towel was also in the low range of force. However, with the fine and coarse sandpaper, much more force was required to move the block along....   [tags: Experiment Results]

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Traditional Data Mining Applications

- ... Visual Data mining: Visual data mining is successful in producing the way to discover knowledge from huge amounts of data. The promotion and use of data mining as a tool for data analysis will become easier with the development of visual data mining techniques. New methods for mining complex types of data: Though considerable improvement has been done in mining streams, time-series ,sequence, graph, spatiotemporal, multimedia and text data , still unable to bridge the gap the between the available technology and the needs for these application....   [tags: standarization, data analysis]

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Data Analysis and Application for Unit 9

- ... The RFL scores are found to be significant predictors of suicidal ideation among 14 to 19 year olds in regression, analysis, with depression, hopelessness, substance abuse, life stress, and loneliness(Scheel&Westefeld,1999).The SRQ had the participants rate their current, past and possible future suicidal risk. Section 3 Writer’s research question that relates to this article would be, does music preference indicate the mental health status of adolescents. The null hypothesis would be there is no relationship between music preference and mental health status....   [tags: sucide, music, adolescents, metal]

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Data Analysis: Space-Time Clustering

- DEFINITION Space-Time Clustering is a method of data analysis whereby the data objects are grouped with reference to a specific place and time. Space time clustering is therefore involve finding clusters that emerge during a particular time interval at particular places. Spatial cluster detection allows the identification of locations, shapes and sizes of potential anomalous spatial regions. The analysis of these clusters aid in the understanding of current patterns and prediction of future ones using a data-driven approach or a model-based approach....   [tags: spacial regions, unforseen information]

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Descriptive Statistics: Raw Data

- Several things can be done to the raw data in order to see what they can say about the hypotheses (Neuman, 2003). An inspection of the raw data can be done by using the descriptive statistics to find obvious coding errors. The minimum and maximum values for each variable must fall within the admissible range. Pairwise correlations depict that all relationships must be in the expected direction. Meanwhile, listwise deletion of missing values indicates that the data can be used for analysis. An outlier is an observation that is unusually small or large....   [tags: Data Analysis, Standard Deviation, Variance]

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Critique of Data Analysis

- This paper addresses a currently relevant topic of detection of associations of copy number polymorphism with traits and will be of interest to readers of Genetics Research. The simulation study showed that the additional information of CNP could increase the accuracy of predicted genotypic value, compared to using SNP information alone in an association study. The accuracy was heavily dependent on the heritability of CNP phenotypes (correlation of CNP genotype and phenotype) (Table 3). The higher accuracy of the prediction with CNP information might also result in smaller mean squared errors of prediction (Table 4)’....   [tags: Genetics]

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Data Collection And Analysis Paper

- Almost every year a hurricane blast through Florida and takes its toll on the business, industry and affects the lives and dollars of the company and its workers. One can ask themselves, "How do we prevent this from happening again?" This is usually what businesses and persons affected by a hurricane ask each other. What about a hospital. How would a hospital prepare for a hurricane. To complicate things more, how would a hospital prepare for a hurricane if the hospital is to operate 24 hours a day....   [tags: Hurricane Natural Disaster Data Information]

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Part A: Data Collection, Presentation And Analysis

- Part A: Data Collection, Presentation And Analysis Survey Results Many human features are controlled by a single pair of alleles, one dominant and one recessive, that are inherited in simple Mendelian fashion. To examine this further, a survey was done on two of basic human features. The two phenotypes chosen for the survey were hand clasping (left over right being dominant) and tongue rolling (where the ability to do so is dominant). Fifty people from a variety of demographics were surveyed. The table below shows the results of the survey....   [tags: Research Analysis ]

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The Pro and Cons of Qualitative Data Analysis Software

- Today the use of technology has become embedded into our daily lives. Most of western civilization has access to a piece of technology at any given point of time. In recent years, technology has started to play a significant role in the area of research. Quantitative research was quickly adapted and aided by technology due to the use of number variables, but the same was not true for qualitative research. In recent years, qualitative research was revolutionized by Qualitative Data Analysis (QDA) software....   [tags: QDA Software]

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Data Analysis and Interpretation of Social Media Use

- Data Analysis Below is Question wise analysis of data collected 1. What is overall work experience you have in marketing and branding domain. a). 0-2 years b). 2-4 years c). 4-6 years d). More than 6 years Interpretation: The above data shows that 68% of the Marketing personnel’s are in the field of Marketing since last 2 yrs which depicts that the people who have given most of the responses are very new to this field and do not carry so much of experience and knowledge .Only 14% of the people that is 7 of them are highly experienced....   [tags: marketing, promotion, survey]

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Patient Centeredness: Measurement Tools and Data Analysis

- Patient Centeredness: Measurement Tools and Data Analysis What is a patient centered care. People have subjective views what a quality, patient-focused care might be, but certainly it can be summarized into two main aspects of care affecting the healthcare challenge: the overuse and underuse of services. According to some estimates, thousands of Americans die annually because they were not provided proper care. These patients would often be treated for symptoms and not serious, underlying problems resulting in increase in medical costs and unnecessary testing....   [tags: Health Care]

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Data Collection Method and Analysis

- In order to provide the Australia Park Victoria with the appropriate data to solve its current crisis, the most appropriate method of data collection for this research is the qualitative method. According to Gay and Airasian (p 627) qualitative method is the collection of extensive data on various variables over a long time in a natural setting with an aim of acquiring insights not possible using other methods. It involves three different kinds of information collection: direct observation, in depth and open-ended interviews and written documents....   [tags: Research Methods]

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Data Analysis

- Data Analysis Explanation [IMAGE]The experiment consisted of recording the results of a small toy car being allowed to roll down a ramp and then leave the end of the ramp by continuing straight off the drop from the end of the desk. I measured the ramp's length, the height of the ramp, and the distance it covered horizontally. I also measured the mass of the car. It was necessary to measure these things so that I can perform calculations later. All of the information I gathered can be seen in the diagram below....   [tags: Papers]

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Data Analysis Investigation

- Data Analysis Investigation Introduction During this investigation I am going to find out if boys are on average taller than girls and if their average heights are more dispersed. My hypothesis is: “On average boys are taller than girls and boyÂ’s heights are more dispersed than girlÂ’s heights.” Using the data I have been provided by the school I will carry out my investigation. The data provided is based on pupils in our Co-educational comprehensive school. The data has been split up into 5 groups also known as strata; there is one strata for each year group i.e....   [tags: Papers]

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Financial Manager Career Data Analysis

- As the economy expands and employment opportunities increase, the need for workers with financial expertise will go up. I will enter the workforce at an excellent time to pursue a career as a financial manager. The information I have acquired concerning this field including opportunities, salary, and working conditions will justify my decision to obtain a position as a financial manager for a major corporation. The opportunities available to someone with a degree in finance are limited to only a few facets of the business world, but according to Job Outlook 2004, a finance degree is one of the top ten degrees in highest demand....   [tags: essays research papers]

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Advantages and Challenges of Data Analysis and Collection Methods

- The following article tries to analyze and compare the research design, methods and the quantitative analysis used by two different papers. It tries to review the advantages and challenges of the methods used to collect and analyze the data. Introduction of the papers Ghoreishi F. S., Zahirrodine, A.R., Assarian, F., Gholam, S., Moosavi, A., & Mahrizi, M. Z. Z. (2014). Evaluation of Emotional Intelligence and Job Satisfaction in Employees of Kashan Hospital. The main objective of this research paper was to evaluate the degree of relationship between the emotional intelligence and the job satisfaction of the employees of three hospitals in Kashan in 2011....   [tags: cross-sectional studies]

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Data Analysis Of Wal-Mart Stores Inc.

- Data Analysis Of Wal-Mart Stores Inc. COMPANY BACKGROUND Wal-Mart initially began its operations in 1945, when Sam Walton leased a ‘Ben Franklin’ franchise variety store in Newport, Arkansas. After relocating to Rogers, Arkansas in the early 1950s, Sam Walton’s ‘Ben Franklin’ became ‘Walton’s 5 & 10’. By 1962, Walton found himself the chain owner of 11 different Walton’s stores across Arkansas. He then decided to rename the chain ‘Wal-Mart’, after himself. On October 31, 1969, after further expansion across the state, the chain was incorporated as Wal-Mart Stores, Inc....   [tags: Business Analysis Statistics Wal Mart]

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Data Analysis And Experimental Uncertainty

- Types of Uncertainty There are two basic kinds of uncertainties, systematic and random uncertainties. Systematic un- certainties are those due to faults in the measuring instrument or in the techniques used in the experiment. Here are some examples of systematic uncertainty: • If you measure the length of a table with a steel tape which has a kink in it, you will obtain a value which will appear to be too large by an amount equal to the loss in length resulting from the kink. On the other hand, a calibration error in the steel tape itselfâ€"an incorrect spacing of the markingsâ€"will produce a bias in one direction....   [tags: Physics]

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Computer Lab: How to Gather Data for Analysis

- ... Once Splunk is up and running, download the sample data file from http://www.splunk.com/base/images/Tutorial/tutorialdata.zip. Once the sample data has been downloaded, add the data into Splunk by selecting “Add data” in the Data panel. Follow the remaining steps in the lab, and then Splunk should display a message that confirms that the upload was successful. Next, navigate to Splunk Search to continue with the lab. The search has features such as the search bar, and the time range picker which is used to select a range of time from which events can be pulled....   [tags: download splunk, tutorials]

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The Four Stages of Data Analysis, Questions and Answers

- ... 2. The second stage is disruption This is the stage where quantification now starts after a pattern has been discovered to help manipulate data. During this stage the numbers will have the final say and disregard anything else including relationship as well as history. A good example to illustrate this stage is how the banks conduct their lending services. They use the computer to figure how much money that you can borrow without the need to know who you are. This mean that even if you are a creditworthy client but there is something that affected your banking pattern you could be denied to access financing only because of the numbers in your account....   [tags: pre-disruption, overshoot, synthesis]

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Data Analysis and Interpetation: Buy One Get One Free

- DATA ANALYSIS AND INTERPRETATION 1) MAKE THE PRODUCT’S COST LESS PAINFUL TO THE THE CUSTOMER The value of a rupee to each consumer is different, i.e in economics terms it is said that marginal utility of money for each consumer is different. Therefore it makes it difficult for the marketer to make consumers part with their money. Before Flipkart, e-commerce was done by credit /debit cards, where the payment had to be done on the time of placing the order. Offering high discounts (which is a common in e-commerce) many considered this risky and a potential fraud....   [tags: flipkart, cash on delibery, e-commerce]

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Data Collection Methods and Analysis

- What ontological considerations and perspectives can be related to the methods compared. The comparison of two data collection methods will be done by looking at semi-structured interviews as well as participatory observations. What they both have in common is that they are executed qualitatively and it is therefore implied that much more focus on words and interpretation will be necessary when using these sorts of methods (Bryman, 2008; 366). This will also be reflected in the ontological as well as epistemological similarities....   [tags: home exam]

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Analysis and Research for a data warehouse system

- Analysis and Research for a data warehouse system Data warehousing is a difficult system and has to have the capability deliver quality data. An operational database is one which is used by organizations to run its day to day database activities. They are designed to handle rapid transaction processes with systematically updates. Velocity is important to operational databases. They are most commonly operated by office staff, and are on the order of megabytes of data to gigabytes. Database consistency checks and constraints are rigidly enforced....   [tags: Transactions, Velocity]

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Is There a Correlation between with STEM and Non-STEM Areas of Study

- ... 50.5% of men and 71.4% of women are studying in the areas of social sciences/humanities which are considered non-STEM degrees. According to Ma’s (2011, p. 1181) figure 2 b. roughly 20% of women and 10% of men graduate with non-STEM degrees. The correlation of men and women that study in social sciences/humanities or non-STEM areas of study are similar to the men and women that have degrees in social sciences/ humanities or non-STEM area of study. The correlation is that there are more women than men that study and graduate in social sciences/ humanities or non-STEM areas of study....   [tags: data analysis]

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Data Selection and Perliminary Analysis of a Study on Income Inequality

- Data Selection & Preliminary Analysis This section outlines the data used in the study and the affiliation between the independent variables and the dependent variable in the model. To analyse the determinants of income inequality, data was collected for 15 developed countries and 15 developing countries covering a time range of 1996-2010. The World databank has been predominately used to obtain the data for the variables, however the Eurostat Statistics Database and the UNU Wider Database has also been used on two occasions....   [tags: capita, education, economy]

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Data Envelopment Analysis in University Rankings

- Data Envelopment Analysis in University Rankings 1.0 Introduction Data Envelopment Analysis (DEA) is a means of producing a performance measure where sets of organisational decision making units (DMUs) have multiple inputs and outputs. (Dyson, 2000, OR Insight Vol13 Issue 4). DEA considers each unit in turn through linear programming and selects the most favourable weights for it. In this investigation the DMUs are universities, and the outputs are the different categories, ie ‘Completion Rate’ 1.1 Data Set Chosen / Assumptions From the Times Top 100 universities a list of 12 was made from what was considered to be the top “Computer Science” universit...   [tags: Papers]

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Scientific Research in Psychology

- Research is to find information and solve problem systematic and logically. In psychology, scientific research method is implemented to approach and reveal knowledge in better understanding of our human mind and behaviour. This research is known as basic research. Applied research is to solve and analysis on psychological problem. Psychology research is needed to identify the problem and find solution to solve problem encounter. These two researches are main category of research have done in psychology field....   [tags: literature, data, analysis]

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Quantitative and Quality Research

- Research roughly divides into two kinds: qualitative research and quantitative research. Quantitative and qualitative data are the two huge types of statistical data.We can make use of choosing both methods one after another, economic or time moderation may not accept us to opt for both. In such situation, comparison between the both can help in making choice. Qualitative Research: It is about exploring questions or problems, gathering some information and recognising the phenomena.This type of research most often used in major fields like humanities , sociology and anthropology, each of these fields studied by qualitative research as well.Collection of data and analysing it in a proper way...   [tags: Data, Analysis, Hypothesis]

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An Analysis of Key Enterprise Data Concepts

- An Analysis of Key Enterprise Data Concepts Business intelligence has several different meanings depending upon the organization and its goal. I general, it involves the collection of data and using it to predict future trends. This information is used to make decisions regarding the direction of said organization. Many businesses offer solutions that propose to pull together data from a variety of sources into a single repository and then analyze the data to gleam whatever information is needed....   [tags: essays research papers]

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Analysis Of Flawed Research

- Analysis of Flawed Research The following article analysis review by Team B illustrates and identifies several examples of statistics abuse in the practical world as a result of flawed research. The following examples demonstrate how a manger could and in many examples, does make erroneous decisions due to inaccurate statistics. The team has compiled the results by detailing the respective articles. In the article, Pentagon Decision Making: seriously flawed, Karen Kwiatkowski witnessed first hand how erroneous and inaccurate information inside the Office of the Secretary of Defense, affected the United States decision to go to war with Iraq....   [tags: Data Analysis Research]

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Analysis of Data Between Height and Weight in Girls and Boys

- Analysis of Data Between Height and Weight in Girls and Boys In my first investigation, I will be analysing data between height and weight in girls and boys. I will also use this data to compare the results between boys and girls as well. I will use a variety of graphs to show this. PREDICTIONS I predict that as the heights increase, so will the weights....   [tags: Papers]

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Analysis of JNY and LIZ Financial Data

- Analysis of JNY and LIZ Financial Data The following paper will compare the five-year performance of two apparel manufacturers utilizing the DuPont Framework and Return on Equity. Then a three- year analysis of common-size income statements will be undertaken to explain changes in income and expenses within each company. Jones Apparel Group (JNY) and Liz Claiborne (LIZ) are the industry leaders in the manufacturing of better clothing, footwear, fragrances, and costume jewelry, and the subject of this analysis....   [tags: GCSE Business Marketing Coursework]

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The Glass Ceiling: African American Women in Management

- Qualitative data analysis requires a logical approach in order to interpolate data into useful information. Participants, and any further obtainable data that will shed light on the studied phenomenon should base the analysis on the objectives of the study, and the response. Coding the information into useful groups that is provided by either preconceived notions or collected responses will be the basis of this qualitative study. In addition, the classification of data into recurring phenomenon, patterns, or relationships, may assist the analysts in determining specific causality for the phenomena....   [tags: leadership roles, research, data analysis]

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Data Collection Analysis: Interview with Brigadier General Wilma L. Vaught and Lieutenant Connell Marilla Cushman

- The topic of my group research is the history of women in service. For the data collection analysis, I interviewed Brigadier General Wilma L. Vaught, USAF (Retired). She is the President of the Board of Directors of the Women In Military Service For American Memorial Foundation, Inc., which was also one of my prime sources for the literature review. Lieutenant Connell Marilla Cushman USA (Retired) assisted her during the interview. Ms. Cushman is the Director of Development and Public Relations Officer for the foundation....   [tags: history of women in service]

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Outcome Evaluation of the Savvy Caregiver Program

- The experimental design that will be used for this outcome evaluation will be a time-series design. Savvy Caregiver participants will be assessed upon initial enrollment into the program, then again immediately after completion of the program, then once again 1-month after completing the program. This experimental design “allows the evaluator to detect trends.If there is a trend in the data, this gradual process would apparent. It could be observed prior to the start of the intervention and monitored afterward” (Royse et al, 2010, p....   [tags: data analysis, experimental design]

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Introduction of New Technology in The Healthcare Industry

- Introduction The medical professionals and the patient are facing the introduction of new technologies in the healthcare in order to increase the access in healthcare, decrease the costs and improve the quality of the services provided. These technologies are changing and challenging the traditional health care. (Chaudhry B. et al., 2006). Implementing these technologies introduced new opportunities for transformation of the patient’s role. The patients become more informed and more autonomous, responsible and active in their own care....   [tags: information systems, data analysis, applications]

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An Analysis and Evaluation of Data from Photosynthesis Experiments

- An Analysis and Evaluation of Data from Photosynthesis Experiments Graph analysis This is my analysis for the investigation in to the affect of light intensity on the rate of photosynthesis to the Canadian pondweed, elodea. In the results the pattern is that when the light intensity is higher the readings are generally higher. On the graph the less the light intensity the lower the gradient of the curve. the equation for the photosynthesis process is; CO2 + 2H2O + Light Energy ========> [CH2O} + O2 + H2O, This shows that when the light intensity is increased the rate of reaction will be more quicker he only anomalous result there was, is the one in the 1...   [tags: Papers]

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The Culture within Starbucks: A Reflection of Human Interaction

- ... Due to my previous experiences within coffeehouses and Starbucks, I was considered an insider in the setting. I don’t think that this had any implications such as bias because I often did not go to observe what was going on around me but rather just to complete schoolwork. It was quite easy to remain invisible throughout this experiment because most people don’t socialize in coffeehouses and fortunately I did not meet anyone at Starbucks that I knew. I think because of the setting it really allowed me to be nearly an invisible researcher....   [tags: methodology, data, analysis]

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Research Design and Methodology

- It has been stated that “once you are clear about your research topic, you will be able to choose the most appropriate research strategy and data collection and analysis techniques” (Sanders et al, 2009: 20-21). This applies to the proposed research, as it is the “the logical sequence that connects the empirical data to a study’s initial research questions and, ultimately, to its conclusions” (Yin, 2009). A comprehensive research design includes strategies, choices and takes into account the time horizons....   [tags: data collection and analysis techniques]

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Conditioning Paradigm and Physiological Assessment

- Materials & Methods Participants. Twenty right-handed healthy participants (age 22.39±3.82, ten females), were recruited for this 2-day experiment. All participants were recruited from within the student population in the Stockholm area and were of Swedish ethnicity (Caucasian). All participants gave their written informed consent before participation and were naive to the purpose of the experiment. The procedures were executed in compliance with relevant laws and institutional guidelines, and were approved by the Regional Ethical Review Board of Stockholm....   [tags: psychophysiology and behavioral data analysis]

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Statement of Purpose for MS Program at MIT

- STATEMENT OF PURPOSE “Education is a tool that puts one a fast to acquire knowledge and personality that sets one apart from the crowd. It is one bottom less hole; no matter how much one pours himself into it, he thirsts for more.” I have been dedicated towards my studies right from childhood. I completed my school and my pre-university education, Physics and Mathematics being my majors with flying colors in the Intermediate Examination (10+2 pattern) XII, 2003 from a reputed college. I got the opportunity to pursue my goal by getting into an esteemed institute Sri Vasavi Engineering College, which is affiliated to JNTU, Andhra Pradesh....   [tags: data analysis, cleveland state, computers ]

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General Model of Planned Change

- The world is constantly changing in many different ways. Whether it is technological or cultural change is present and inevitable. Organizations are not exempt from change. As a matter of fact, organizations have to change with the world and society in order to be successful. Organizations have to constantly incorporate change in order to have a competitive advantage and satisfy their customers. Organizations use change in order to learn and grow. However, change is not something that can happen in an organization overnight....   [tags: globalization,technological changes,data analysis]

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Graduate Studies in Aerospace Engineer

- ... Though it was built for fun, I also used to compete among my friends. The planes flying for more distance or staying longer in air were declared as the winners in those competitions. To win in the competition, we used to build planes of various designs and tweak them to fly for longer distance or to stay more time in air. Though it was done unknowingly, today I can relate them with respect to endurance, fuel efficiency and design of a modern aircraft, which plays a crucial role in designing the aircraft....   [tags: aircraft, design, data, strees, analysis]

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Early Intervention and Juvenile Delinquency Prevention: Evidence from the Chicago Longitudinal Study

- Early Intervention and Juvenile Delinquency Prevention: Evidence from the Chicago Longitudinal Study (CLS) (Mann, E. A., & Reynolds, A. J., 2006). The Chicago Longitudinal Study (CLS) was a quasi-experimental design study which investigated the role of Child-Parent Center (CPC), early education intervention (independent variable) and child, family, peer and school-level predictors on court-reported juvenile delinquency (dependent variable). The predictor variables used have been supported through extensive research and included: early antisocial behavior, individual-level attributes of the child family attributes, and social characteristics of both the child and the family (Lipsey & Derzon,...   [tags: Cost Benefit Analysis, Secondary Data]

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Statistics

- Statistics are necessary for scientific research because they allow the researchers to analyze empirical data needed to interpret the findings and draw conclusions based on the results of the research. According to Portney and Watkins (2009), all studies require a description of subjects and responses that are obtained through measuring central tendency, so all studies use descriptive statistics to present an appropriate use of statistical tests and the validity of data interpretation. Although descriptive statistics do not allow general conclusions and allow only limited interpretations, they are useful for understanding the study sample and establishing an appropriate framework for the fur...   [tags: Data Analysis, Frequency Distribution]

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Study of Clothing Online Shopping

- Introduction The existence of many sophisticated computer systems and various innovations in the Computer Age justifies the need for new ways of sales in society. The need for share of information in a so called ‘global network’ and man’s desire to communicate from long distances called for the birth of the World Wide Web (formerly known as ARPANET). With the advent of the internet, many of the mundane tasks and businesses became feasible. Things like buying and selling can now be done online. Consumers no longer need to move from their place....   [tags: data protection systems, business analysis]

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Overlapping Methods or Developing a New Approach? Understanding Methodological Commonalities

- Grounded Theory (GT) and Content Analysis (CA) are widely known methodologies applied within multiple scientific communities, sharing a close background with social sciences. Each of these approaches has been developed and tested throughout distinct historical pathways, both shaped by different aims, results and theoretical constructions. Whereas GT belongs to what could be described as “inductive science”, CA is tagged under the motto of “deductive sciences”, assuming essentially different epistemological positions (Bernard & Ryan, 2009)....   [tags: content analysis,grounded theory,data exploration]

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Database Applications

- Database Applications The company that I work for makes extensive use of databases and other applications that are based on database technologies and theories. The extensive use of databases throughout the entire organization, in theory, will save time, money, and manpower. My company uses several different types of databases and different database applications based on the estimated size of the database once all the data has been entered and allowing for future growth....   [tags: Business Database Data Analysis]

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What´s Data Triangulation?

- Triangulation refers to the data collection and validation method in which two or more sources of data are consulted in order for the most accurate conclusion to be reached through the study and interpretation of a research topic from several perspectives (pp. 892, Given 2008). || Most frequently utilized in case study researches, triangulation is described by Weerakkody (2009) to exist in four basic forms: data triangulation, methodological triangulation, theory triangulation, and investigator triangulation....   [tags: analysis, interpretation]

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Empirical Data Results

- In this chapter the researcher is presenting the empirical data gathered from the interviews which combines the qualitative and quantitative information. Moreover the analysis, opinions and recommendations will follow this chapter. Qualitative Information: Aptara: Aptara was founded in 1988 to provide the digital publishing services to book publishers and employs 4000 employees while having the headquarters in Washington D.C. Their digital publishing services include scanning & digitalising, swift data entry, content conversion, OCR applications, digital recording and imaging etc....   [tags: Research Analysis]

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Privacy and Security Issues in Data Mining

- Introduction There are various kinds of definitions about what data mining is. The authors in [1] define data mining as “the process of extracting previously unknown information from (usually large quantities of) data, which can, in the right context, lead to knowledge”. Data mining is widely used in areas such as business analysis, bioinformatics analysis, medical analysis, etc. Data mining techniques bring us a lot of benefits. Business companies can use data mining tools to search potential customers and increase their profits; medical diagnosis can use data mining to predict potential disease....   [tags: business and bioinformatic analysis]

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Determining Accurate Output Data with MATLAB

- INTRODUCTION The course module; Network programming and simulation, entails modeling and simulation and also the analyses of input data. Simulation is the act of implementing, testing with a model or a set of models for a specific objective, which might be one of the followings; Problem solving, Research, Education. Modeling and Simulation is a discipline which consists of many branches such as; Discrete distributions, Continuous distributions, Monte Carlo modeling and simulation, Probability distributions....   [tags: statistics, analysis, chi-square]

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2880 words | (8.2 pages) | Preview

Regulation Data Protection and Personal Data Privacy

- CONTENTS PAGE EXECUTIVE SUMMARY iv CHAPTER 1 - INTRODUCTION 1 Background 1 Statement of Purpose 1 Scope 2 Limitations 2 Methods of Research 2 CHAPTER 2 - FINDINGS 3…………………………………………………………3 Current Regulations 3 Current Expectations from customers 6 Reason Additional Regulations should be added 8 Future Potential 9 CHAPTER 3 - CONCLUSIONS AND RECOMMENDATIONS 11 Conclusions 11 Recommendations 12 WORKS CITED 13 EXECUTIVE SUMMARY This report will describe the history of government regulations and FTC....   [tags: Data Privacy]

Research Papers
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Performance Evaluation of Discrete Wavelet Transform Architecture

- Discrete wavelet transform has an inherent time-scale locality characteristics which provided an efficient tool for various fields like signal compression, signal analysis, etc. This led to the development of various architectures that implements DWT. The original pixels are highly correlated, thus applying the compression algorithms directly does not provide an efficient compression ratio. Hence, DWT is applied which is a powerful tool to de correlate the image pixels. The 2-D wavelet filters which are separable functions, is implemented first by row-DWT and then column DWT which produces four sub band namely LL, LH, HL and HH in every decomposition level....   [tags: pixels, signal analysis, high speed data]

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Automated and Non-Automated Data:

- ... Data processing can be defined as the gathering of information, which is then adjusted and made into meaningful information for potential data analysis. There are several types of data processing such as manual data processing, automatic data processing, and electronic data processing. Data processing systems take the raw data and produce useful information. Our processing teams handle a lot of these responsibilities. For example, when we are billed invoices from our vendors, the invoices are scanned into the systems....   [tags: data processing, data resources]

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Modern Business Tools: Data Mining and Data Warehousing

- Data mining and Data warehousing are used daily in a wide variety of contexts. In today’s corporate world, decisions must be made rapidly and with the maximum amount of knowledge. Data warehousing is the process in which data from multiple sources is combined and stored in one common database (Gutierrez). The fundamental concept of data warehousing is the distinction between data and information. Data is observable and recordable facts but only comes to have value when it is presented as information....   [tags: distinction between data and information]

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Nonlinear Modeling of Data

- In the most modern instrumental methods, the raw data obtained must be analyzed further to extract the information we need. Fortunately, this task can be handled automatically by a computer. For example, suppose we want to measure the diffusion coefficient of a protein in aqueous solution to get an idea of its molecular size. We have no "diffusion meter" available for this job. We need to do an experiment such as ultracentrifugal sedimentation, dynamic light scattering, or pulsed-field gradient spin-echo nuclear magnetic resonance and extract the diffusion coefficient by analyzing the data appropriately....   [tags: Medeling Data]

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Decision Tree Analysis and Genetic Algorithm

- Decision Tree Analysis In data mining, the decision tree analysis is used to determine the best choice from various possible options. Through this process, researchers and managers get an opportunity to evaluate the risks, benefits and inconsistencies associated with the decisions. The first step is structuring the problems or issues being faced by the organization as a tree. At the end of each branch, all the benefits are listed to help in evaluating the path with the most benefits. After the benefits have been determined, the next step involves assigning subjective probabilities to all the activities on the tree (Qu, Adam, Yasui, Ward, & Cazares, 2002)....   [tags: Data Mining]

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The Development of Algorithm for Data Stream

- The past decade has seen a lot of research on various time series representations. Various researches have been carried out that focused on representations that are processed in batch mode and visualize each value with almost equal dependability. As the tremendous usage of mobile devices and real time sensors has released the necessity and importance for representations that can simultaneously be updated, and can estimate the time oriented data with reliability and proportional to its time period for extended analysis....   [tags: data, computational resources]

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The skills gap in Big Data analytics

- Our every day life has changed forever, thanks for the ubiquitous smart phones and technology dependent information age. We leave a trail of data while travelling, shopping, driveing, bloggin, and even voting. All of these activities leave a digital signature unique to us, which if analyzed can predict our next move. Similarly, a large set of data is being created each day by businesses, researchers and the World Wide Web. According to an estimate by the government, there are about 1.2 zettabytes (250 billion DVDs) of electronic data generated each year by everything from underground physics experiments and telescopes to retail transactions and Twitter posts (Mervis 22)....   [tags: Technology, Data Growth, Big Data]

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Privacy Conserving in Data Processing: An Overview

- INTRODUCTION Data mining is a crucial analysis space in database system. Data processing provides us a strong tool for analysis the unknown data within the known information sets. Whereas within the same time, the explosion of knowledge brings us a aspect impact that is that private information may well be desecrated by others with none protection. And this might bring negative effects for analysis the pregnant data. Privacy Preserving Data Mining is planned to resolve this drawback. It is eluded unseaworthy the sensitive information of users....   [tags: data mining, data cube, warehouse]

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Data Mining and the Social Web

- Data Mining is a powerful tool that is designed to gather large sets of data at incredible speed and analyze them. Most companies use this tool to better understand their customer’s habits as well as their interests. Advertisers love this tool because it allows unprecedented amount of access to information. Most people are unaware that their data is being mined, bundled, and sold by a company to third party advertisers in order to make targeted ads more effective. This is a problematic practice because users are unaware that in most social media sites such as Facebook, this tool is used (Jessica Reyman “User Data on the Social Web: Authorship, Agency, and Appropriation”)....   [tags: Data Mining Essays]

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Understanding Data Collection and Storage

- Data is collection is simply how information is gathered. A data collection is the process of collecting raw material and information on variables of interest. Data collection is an important aspect of any types of research study. Inaccurate data collection can impact the result of a study and ultimately lead to invalid results. The main purpose of data collection is to collect quality of information about a particular topic and translate the collection rich data analysis and allow the building of a convincing and credible answer to question that have been posed....   [tags: Data Collection Essays]

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The Information Age: Data Mining

- ... For finding useful information we have to consider the tools to be used. Because of working with transactional data means that working with a lot of data. The tools could help people to find related items by running through the whole data and bring out some patterns. The concept of data mining could be applied to database in order to find some groups of items. The result of data mining becomes actions or decisions. There are algorithms to be used for particular purposes. It is the important consideration to choose the appropriate algorithms....   [tags: storage, data processing, technology]

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Computer Science: Data Mining

- Data mining is an analytic process of exploring huge amount of data, extract useful information, finding consistent patterns and trends between variables, and build predictive computer models from the relationship discovered using a combination of classical statistics, machine learning and artificial intelligence. The findings are then applied to new subsets of data to test its validity. It performs two essential tasks, descripting and predicting. Descriptive mining tasks characterize the general properties of the data in database....   [tags: exploring data, prediction, validity]

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Although Electronic Data Capture

- ... Over the past decades, the clinical trial industry has significantly changed in order to ensure that patient safety and quality data are maintained at a high level, and that costs associated with monitoring are reduced. Researchers believe that on-site visits represent about 30 percent of the total budget in large scale studies6. Recently, the Food and Drug Administration (FDA) released a document that the organization itself supports and encourages the use of a more centralized monitoring system, which ultimately leads to substantial decreased on-site monitoring6.Currently, the majority of large trials utilize on-site visits to complete Source Document Verification, which consists in ma...   [tags: research, data integrity, ethics]

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What is a Data Mart?

-   INTRODUCTION-WHAT IS A DATA MART. A data mart is a collection of data in a customized format in a data warehouse focused on a specific report or functional area such as hospital’s census, hospital’s charge activity, labor and delivery outcomes, or Nursing quality measures. (Oracle, 2012) Data marts are usually build by department of information services or an EHR vendor. Data marts usually draw data from more than one source. These data sources can be internal systems used by operational units or external sources....   [tags: data mart, disease, mangement, tools]

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Analysis of Information Technology Protection

- According to the Business Dictionary, IT technology is defined as a; “Set of tools, processes, and methodologies (such as coding/programming, data communications, data conversion, storage and retrieval, systems analysis and design, systems control) and associated equipment employed to collect, process, and present information.” IT technology is the backbone of most companies today as it has many functions including storing important and potentially sensitive information. Therefore, it is important to properly protect your data....   [tags: it, backup system, data security]

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Theory of Data Research with Interventions

- Theory of Data Research with Interventions Harmonizing supplemental interventions with existing teaching and extra tutorials is daunting and sometimes overwhelming for the student. Leaving the educator with several unanswered questions and students bewildered. Researching interventions allows the educator to gain not only knowledge but firsthand experience with the interventions. Theresa Deeney recommends tiering data to assemble a fresh outlook of possibilities through graphics. (Deeney, 2008) Strengths to this philosophy include a detailed focus of what gains need to be met and the specific direction to obtaining said goals....   [tags: teacher, gap analysis, learning disabilities]

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1728 words | (4.9 pages) | Preview

Process Modeling in System Analysis and Design

- Data modeling is used to represent the system visually. It describes how data should be used to meet certain requirements given by the user. (Ref) This helps to ensure that all the requirements of the system have been met. There are numerous types of models used for different reasons, including logical and physical models. Each type of modeling has a specific purpose and is essential to the overall project. Some modeling describes the logic of the system, while others show the flow of information through the system....   [tags: data modeling, logical models]

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913 words | (2.6 pages) | Preview

Big Data: ‘Mined’ My Business?

- Imagine someone told you that every bit of personal information you have exchanged with an individual or company through any digital interface such as the internet, cell phone, GPS devices, and electronic payment systems has been piled upon millions of other people’s personal information in datasets that are unfathomably large and incomprehensible to any human mind. Would you believe it. What if the same individual continued to tell you that these data sets are “mined” using complex algorithms to discover subtle patterns, correlations, and relationships among citizens....   [tags: technology, abundance of data]

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1209 words | (3.5 pages) | Preview

Data Discovery Tools

- “If there were a single market theme in 2012 it would be that data discovery became a mainstream architecture.” (Magic Quadrant 2013) Data discovery is one of the most recent sections of data analytics and technology industry. Information is playing a very critical role in operations and processes, and users are demanding for tools that facilitate easy access, analysis and sharing of data. There has been an increased demand for business intelligence expansion, and BI vendors are continually trying to satiate these demands....   [tags: Technology, Search based data]

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1518 words | (4.3 pages) | Preview

Developing a Global Payment Data Warehouse

- Citigroup PDW: Developing a Global Payment Data Warehouse MIS600 – Information Systems Capstone December 15, 2013   Table of Contents Project Value Statement 3 Project Strategy Statement 4 Figure 1: Sample Weekly Progress Report 5 Cost/Financial Assumptions 6 Success/Risks Criteria 6 System Alternative Assessment 6 Table 1: Citigroup PDW Investment Payback Analysis 9 Table 2: Citigroup PDW Feasibility Matrix 10 Attachment A – Payback Analysis 11 Table 3: Option 1 – Do Nothing Payback Analysis Table 4: Option 2 – Technology Refresh Payback Analysis 13 Table 5: Option 3 – Redevelop Application Payback Analysis 13 References 14 Project Value Statement As one of the nation’s larges...   [tags: Citigroup, methodology, financial data, bank]

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1964 words | (5.6 pages) | Preview

Database: How to Obtain Fast Query Response Time by Reshaping The Big Data

- Recent researches on big data are showing the challenges of the semantic web: how to link data on the webpage and connecting the available data on web so that is created at high speed in large volume in different variability or variety that ensure the quality and correctness of that data so that it is able to understand for humans and machines. People are spending a lot of time to extract, transform and integrating the data for their analytical purpose but their expert tools wants data into a specific format and reshaped data so that they can retrieved better result It will enable the new development of the semantic web as linking, processing, and analyzing all that data becomes better and...   [tags: query analysis, semantic web]

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982 words | (2.8 pages) | Preview

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