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What is Statistics

Chapter 18
The Ethical Frontier of AI and Data Analysis
Statistics is a branch of mathematics that deals with finding insights from numerical data to make informed decisions.
Published in Chapter:
The Evolution of AI and Data Science
A. S. Anurag (Central University of Kerala, India)
Copyright: © 2024 |Pages: 18
DOI: 10.4018/979-8-3693-2964-1.ch018
Abstract
The history of artificial intelligence (AI) and data science has their origins in the 1940s and 1950s respectively. However, it has been through many changes throughout its history. AI is a vast and fascinating subject. There are many more elements to discover and understand. This chapter aims to outline the history of AI and data science, from its origin to its current developments. It will also explore the ethical considerations within AI and data science, such as bias and fairness, transparency, data privacy, etc. In the end, the chapter sheds light on the ethical concerns regarding the implementation of AI and the security concerns that data science poses. The chapter also provides insights into the role of individuals, government, and society in mitigating these issues. This chapter aims to furnish the reader with the scientific foundation and essential understanding required for embarking on the journey to comprehend the realm of artificial intelligence and data science.
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Chapter 3
Technologies for Connected Government Implementation: Success Factors and Best Practices
Statistics is the science involved in the study of the development of methods for collecting, analysing, interpreting and presenting data. Statistics is an interdisciplinary field. Statistics are used in almost all scientific fields. Research questions in various scientific fields contribute to the development of new statistical methods and theories.
Published in Chapter: Technologies for Connected Government Implementation: Success Factors and Best Practices; From: Web 2.0 and Cloud Technologies for Implementing Connected Government
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Chapter 4
Evaluating E-Assessment: A Practical Application Using Statistical Methods
Science which analyses and draws conclusions from data. It can be applied in most areas of human knowledge.
Published in Chapter: Evaluating E-Assessment: A Practical Application Using Statistical Methods; From: Handbook of Research on E-Assessment in Higher Education
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Chapter 4
Machine Learning-Enhanced Text Mining as a Support Tool for Research on Climate Change: Theoretical and Technical Considerations
In the context of text mining, 'statistics' refers to the quantitative methods used to analyze and interpret text data. This can involve various techniques such as frequency analysis (counting the occurrence of words or phrases), topic modeling (identifying the main topics in a text), and association rules (finding relationships between words or phrases). These statistical methods help to transform unstructured text data.
Published in Chapter: Machine Learning-Enhanced Text Mining as a Support Tool for Research on Climate Change: Theoretical and Technical Considerations; From: 5G, Artificial Intelligence, and Next Generation Internet of Things: Digital Innovation for Green and Sustainable Economies
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Chapter 303
Teaching Medical Statistics over the Internet
Branch of mathematics concerned with the collation, analysis and interpretation of quantitative data.
Published in Chapter: Teaching Medical Statistics over the Internet; From: Encyclopedia of Distance Learning, Second Edition
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Chapter 221
Teaching and Using Analytics in Management Education
Generally divided into two broad categories: Descriptive and Inferential. Descriptive statistics involves data collect, process, classification and reporting. Inferential statistics focuses on drawing general conclusions from a sample regarding a population characteristic.
Published in Chapter: Teaching and Using Analytics in Management Education; From: Encyclopedia of Business Analytics and Optimization
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Chapter 10
Innovative Active Methodologies That Promote Learning in Postgraduate Students in the 21st Century: Project-Based Learning and Flipped Classroom
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Chapter 13
The Simple Guide to Understanding Quantitative Methods of Inquiry
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Chapter 18
Quantitative Data Analysis for Information Science Professionals
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Chapter 12
The Design of Experiments as a Methodological Framework for the Improvement of Manufacturing Processes
It is a science based on solid mathematical theorems that come from irrefutable logical laws. It consists of the collection, treatment, interpretation, and analysis of a set of data that allows the understanding of a phenomenon and the correct decision making.
Published in Chapter: The Design of Experiments as a Methodological Framework for the Improvement of Manufacturing Processes; From: Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications
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Chapter 8
Intentional Use of Digital Technology in Graduate Epidemiology Education
The science of collecting and analyzing data in large quantities to derive answers about populations.
Published in Chapter: Intentional Use of Digital Technology in Graduate Epidemiology Education; From: Cases on Digital Learning and Teaching Transformations in Higher Education
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Chapter 161
The Ontology of Randomness
A form of computable induction, deciding the degree of certainty of future events.
Published in Chapter: The Ontology of Randomness; From: Encyclopedia of Information Science and Technology, Fourth Edition
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Chapter 12
Blockchain Technology in the Automotive Industry: Use Cases and Statistical Evaluation
Statistics is the science involved in the study of development of methods for collecting, analysing, interpreting and presenting data. Statistics is an interdisciplinary field, used in almost all scientific fields. Research questions in various scientific fields contribute to the development of new statistical methods and theories.
Published in Chapter: Blockchain Technology in the Automotive Industry: Use Cases and Statistical Evaluation; From: Industry Use Cases on Blockchain Technology Applications in IoT and the Financial Sector
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Chapter 4
Disrupting Learning of Statistics: Using an Appreciative Inquiry Approach to Create Smart Learning Designs
The science or practice of gathering and analyzing numerical data in large quantities, especially to infer proportions in general from those in a representative sample.
Published in Chapter: Disrupting Learning of Statistics: Using an Appreciative Inquiry Approach to Create Smart Learning Designs; From: Cases on Smart Learning Environments
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Chapter 15
Using Sports to Motivate Math Learners: Examples for Teaching Mathematical Literacy
A branch of science that deals with probability, data collection, organization, analysis, interpretation, inferences, and presentation of quantitative data.
Published in Chapter: Using Sports to Motivate Math Learners: Examples for Teaching Mathematical Literacy; From: Disciplinary Literacy Connections to Popular Culture in K-12 Settings
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