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What is Statistical Analysis

Handbook of Research on Democratic Strategies and Citizen-Centered E-Government Services
A set of methods that are used for data analysis.
Published in Chapter:
Impact of Local Self-Government Institutions on Creating a Business-Friendly Environment: Multi-Criteria Analysis
Jelena Stanković (University of Niš, Faculty of Economics, Serbia) and Igor Novaković (University in Pristina/Kosovska Mitrovica, Serbia)
DOI: 10.4018/978-1-4666-7266-6.ch018
Abstract
The chapter objective is to demonstrate application possibilities of Multi-Criteria Analysis (MCA) in the specific local economic development problem in Serbia that refers to assessment of Local Self-Government (LSG) institutions' capabilities to act in order to create business-friendly environments and increase entrepreneurial activities. The primary aim of the chapter is to formulate an adequate multi-criteria model for evaluation of institutional cooperation between business councils, as representatives of local authorities and the business community in observed LSG units. Results indicate inadequate quality and functionality of the business councils, although cooperation has been established between the business councils, as a local government institution, and representatives of business community. Data analysis is conducted using relevant statistical methods. For multi-criteria analysis of subjective preferences of Local Economic Development (LED) offices has been applied Analitic Hierarchy Process (AHP).
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Statistical Visualization of Big Data Through Hadoop Streaming in RStudio
It is branch of data analytics where sample sets are compiled to draw the mathematical conclusion using special software and tools.
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Social Media Bullying in the Workplace: Impacts on Motivation, Productivity, and Workplace Culture
The collection of data in an organized fashion to discover underlying scientific patterns.
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Evaluation of Gender Perceptions of University Students
Statistical analysis is the process of collecting large volumes of data and then using statistics and other data analysis techniques to identify trends, patterns, and insights.
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