Preparing to conduct Business Research 4 Veronica Davis Leslie Franklin Kathy Santiago University of Phoenix Business Research RES/351 Philip Ingraham January 3, 2013 Introduction This paper will address the following questions as it pertains to data analysis approach and quantitative and qualitative result reporting for BP. “How will you have access to the population to be sampled or interviewed? What are the instruments you will use to collect data or qualitative information?
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between the (transformed) independent variables and the (transformed) response variable. These transformations can give the data analyst insight into the relationships between these variables so that relationship between them can be best described and non-linear relationships can be uncovered. The power and usefulness of ACE guided transformation in multivariate analysis are illustrated using a simulated data set as well as a real data set. The results from these examples clearly demonstrate that ACE
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complication involved in it. There are two specific test used in this particular simulation which are Anova and Non-parametric. “Anova is defined as a statistical method for making simultaneous comparisons between two or more means; a statistical method that yields values that can be tested to determine whether a significant relation exists between variables.” (dictionary.com) “A non parametric test is a branch of statistics that are applied when populations are not normal or they are severely skewed
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accuracy of the result. The higher the confidence level, the more likely we expect VaR to approach its true value or to be within a pre-specified interval. Analytical VaR is also called Parametric VaR because one of its fundamental assumptions is that the return distribution belongs to a family of parametric distributions such as the normal or the lognormal distributions. Analytical VaR can simply be expressed as: | | where: * VaRα is the estimated VaR at the confidence level 100 × (1
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classification of EEG normal and seizure signals. A plenty of statistical techniques are used for binary classification. Some of the most popular techniques include linear Discriminant Analysis (DA) and non-parametric statistical methods like Neural Networks. SVMs are promising statistical non-linear, non-parametric classification technique and it gives good results for medical diagnostics and is a powerful tool for pattern recognition
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Stochastic frontier analysis of the efficiency of Nigerian banks Abstract Using the Stochastic Frontier Analysis (SFA) the efficiency of Nigerian banks was analysed. The result of the study proved that there is inefficiency in the Nigerian banking system and that the level of inefficiency ranged from 0 to 19 per cent of total cost. The study was able to derive the individual bank's level of inefficiency. Put differently, the study was able to derive the individual bank's level of efficiency
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Individual Assignment: Understanding Business Research Terms and Concepts: Part 3 Instructions Please highlight (like I just did) the correct answer and upload the entire document to the Assignments link by the due date in the syllabus. This is the only version of the assignment that will be graded. Do not use the matching shown on the Materials tab page for Week 5! 1 Which of the following shapes best represents a normal distribution as it is depicted graphically? A. Square B. Bell
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Weighted Color and Texture Sample Selection for Image Matting AIM: The mainstay of the project is a new non-parametric sampling based method is presented that uses texture as an additional feature for the matting task. INTRODUCTION: Digital matting refers to the accurate extraction of foreground objects from an image here part of the regions in the object could have contributions from the background. This contribution is incorporated into a compositing equation in the form of opacity α of
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Phone:+610402917968 Weak Form Market Efficiency of Dhaka Stock Exchange (DSE), Bangladesh Abstract This paper examines the weak-form efficiency in Dhaka Stock Exchange (DSE) of Bangladesh adjusting for thin trading problem. Both non-parametric tests and parametric tests are used. The data sets consist of daily DSE General Index (DSE-GEN) and DSE 20 Index for the period ranging from January 1, 2002 to December 31, 2007. The results of the study reveal that DSE return series are not normally
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Surface Reconstruction from Medical Imaging for Use in a Computer-AidedDesign (CAD) Environment A thesis by Gregory M. Sturgeon M.S.E. Presented January 2005 In partial fulfillment of the requirements for the Masters of Science in Engineering degree Padnos School of Engineering Grand Valley State University Advisor: Dr. Jeff Ray Grand Valley State University Padnos School of Engineering Certificate of Examination Advisor ________________________ Dr. J. Ray Examining Board ________________________
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