Analytics Concepts and Definitions Types of Analytics Descriptive Analytics: * Post Event Analytics * Add features to website and measure its effectiveness in form of clicks, link sharing, page views * Descriptive Analytics Tools -> Google Analytics, Optimizely Diagnostic Analytics: * Post Event Analytics * Analytics used to diagnose why something/phenomenon happened the way it did * It basically provides a very good understanding of a limited piece of the problem
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method in analysis of data. I shall first seek to define what parametric and non-parametric statistics mean and then compare and contrast them in the analysis of data. Parametric statistics is a branch of statistics that assumes that the data has come from a type of probability distribution and makes inferences about the parameters of the distribution. Most well-known elementary statistical methods are parametric. (According to Wikipedia, the online dictionary). In statistical analysis, parametric
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Stage Renal Disease patients have two choices of dialysis, either hemodialysis or peritoneal dialysis. Chronic dialysis can impose a considerable burden on patients and their families, with regards to health care and their quality of life. Many statistical studies have been done to compare the qualities of life with ESRD patients who are on hemodialysis and peritoneal dialysis. According to Lausevic, M., Nesic, V., Stojanovic, M., Stefanovic, V. (2006), health-related quality of life is a multidimensional
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theory. Brown (1977) characterized the relationship between theory and research as a dialectic, a transaction whereby theory determines what data are to be collected and research findings provide challenges to accepted theories. 2 Research, then, is neither more nor less than the vehicle for theory development. It is the method used to gather the data needed for the theory. This is true whether the purpose of the research is to generate a theory or to test one. When the purpose is theory generation
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List of statistical topics 5 January 2015 Dear Dr. W, I have summarized below the types of statistical work I have learned about or performed myself in the past. I am very familiar with descriptive statistics and data handling through my training and work as a Monitoring and Evaluation officer and Program officer, and familiar with analytic techniques including multiple regression models. I am also familiar with research design concepts including random sampling, retrospective and prospective
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the quantitative type, surveys will be conducted wherein a researcher-made type of questionnaire will be utilized. For the qualitative part, interviews and observations will be conducted. Basically, simple descriptive and descriptive comparative research designs will be utilized. The descriptive part intends to characterize the three programs (recruitment, training, and performance appraisal) in terms of: policies, procedures, strategies, and
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2010 TABLE OF CONTENTS I. Introduction: Marketing Research 4 1) Marketing Research 4 2) The Marketing Research process 4 II- Body 1: Litterature Review 6 1) Inferential Statistics 6 a) Dummy Variables 7 b) Experimental Analysis 7 2) Normal Distribution 8 Figure 1: A normal Distribution, bell-shaped curve 9 3) Skewness 9 4) The Kurtosis 9 5) Formula of Kurtosis and Skewness over their Standard error 10 6) Central Limit Theorem 10 7) T Test Hypothesis testing for
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|Statistical Reasoning in Psychology | Copyright © 2012, 2010, 2006 by University of Phoenix. All rights reserved. Course Description This is an introductory course in applied statistics, with particular emphasis in psychology. Both descriptive and inferential statistics are included. In addition, this course provides the basic statistical background and understanding needed. Policies Faculty
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assignment is to simulate a professional work task involving statistical analysis. It is designed to help students learn about what is involved in undertaking basic statistical analysis to understand a real-world problem, and communicating the results of this analysis to business stakeholders. Context and Problem You are working as a business analyst for Crunch-IT Consultants, a Sydney-based company that specializes in providing statistical consulting services to small and medium-sized companies
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objective identification, collection, analysis, and dissemination of information for the purpose of assisting management in decision making related to the identification and solution of problems (and opportunities) in marketing. 1) Identification: Involves defining the marketing research problem (or opportunity) and determining the information that is needed to address it. 2) Collection: Data must be obtained from relevant sources. 3) Analysis: Data are analyzed, interpreted, and inferences
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