12‚ 2013 Date Due: November 12‚ 2013 BUS – 320 Business Research Methods Research Analysis – Environmental Sustainability of Hotel Industry TABLE OF CONTENTS 1. List of Statistical Techniques…………………………………………………………………………………………..3 2. Purpose of using the Statistical techniques…………………………………………………………………….4 3. Tab Plan………………………………………………………………………………………………………………………….5 4. Analysis and Interpretation…………………………………………………………………………………………….6 i. Chi Square Testing………………………………………………………………………………………………6
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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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Sampling and Data collecting Plan October 9‚ 2014 University of Phoenix QNT/561 Team D has chosen to look into whether or not should Pear Inc. should start putting their resources into either Laptops or tablet electronic devices. Putting resources into a venture that may or not pan out could be detrimental to that same company. As an example; Kodak and their choice not to expand into digital‚ something they created‚ and stay the course with their polyurethane film (Mui‚ 2012).In the end the
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Techniques for Summarizing Quantitative Data frequency histogram A sample of 40 female statistics students were asked how many times they cried in the previous month.Their replies were as follows: Stem-Leaf Plot A natural way to organize (group) quantitative data is with the order property of the real numbers‚ i.e.‚ arrange the data from least to greatest. For example‚ the 30 weights: 185‚ 160‚ 235‚ 165‚ 125‚ 175‚ 185‚ 132‚ 168‚ 112‚ 170‚ 155‚ 105‚ 158‚ 120‚ 190‚ 140
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ITKM Analysis of Data Mining The article Data Mining by Christopher Clifton analyzed how different types of data mining techniques have been applied in crime detection and different outcomes. Moreover‚ the analysis proposed how the different data mining techniques can be used in detection of different form of frauds. The analysis gave the advantages and disadvantages of using data mining in different operation. The major advantage was that data mining enables analysis of large quantities
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Chapter 12 Data Envelopment Analysis Data Envelopment Analysis DEA is an increasingly popular management tool. This write-up is an introduction to Data Envelopment Analysis DEA for people unfamiliar with the technique. For a more in-depth discussion of DEA‚ the interested reader is referred to Seiford and Thrall 1990 or the seminal work by Charnes‚ Cooper‚ and Rhodes 1978 . DEA is commonly used to evaluate the e ciency of a number of producers. A typical statistical approach is characterized
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CIS 501: Information Systems for Managers Data Mining Problems Introduction Problem 1: Data-Based Decision Making Problem 2: Market Basket Analysis: Association Analysis Problem 3: Market Basket Analysis: Concept Tree/Sequence Analysis Problem 4: Decision Tree Problem 5: Clustering/Nearest Neighbor Classification Problem 6: Clustering Problem 1: Data-Based Decision Making Supermarket Product Placement Suppose that we are responsible for managing product placement within a
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Sampling and Data Collection Plan: Amsterdam LLC Cindy Smith QNT/561 November 10‚ 2014 Professor Derek Blythe Sampling and Data Collection Plan: Amsterdam LLC Amsterdam LLC is a transportation company that transports clients to and from their destination throughout the states of Ohio‚ New York‚ and Illinois. The company operates over 1‚500 vehicles and consumes at least 3 million gallons of fuel per year. The company has realized that the operation and maintenance of the outdated vehicles are becoming
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The Data Protection Act (UK – 1998‚ Malta – 2001): The DPA concerns the “collection‚ recording‚ organization‚ storage‚ adaptation‚ alteration‚ retrieval‚ gathering‚ use‚ disclosure‚ blocking‚ erasure or destruction of personal data”. The purpose of the Data Protection Act: a. The purpose of the DPA is to protect living individuals against the misuse of their personal data. Examples of such misuse could include exposing of personal data without obtaining prior permission from the data subject
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The research being proposed will analyze Juvenile data from‚ “The Bureau of justice Statistics” or BJS‚ using primary data. The site will discuss the link between juvenile delinquency by comparing past research with current research. The study will be concentrated but not limited to discussing the difference in genders. Comparing which gender has a higher substance abuse issue. My hypothesis is that females have a higher substance abuse than males issue which causes criminal involvement. Males are
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