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Principles of Probability & Statistics
Probability and statistics are essential tools for nearly every field of analysis.
This volume presents the basic principles and applications of probability and statistics, as well as methods of data collection, proper interpretation of data, and many other topics, allowing readers to acquire a sound knowledge base of this topic.
This new resource explores how probability and statistics relate to data science, finance, engineering, medicine and healthcare, artificial intelligence, sports, manufacturing and quality control, risk management and insurance, and many more fields.
Beginning with a comprehensive Editor’s Introduction by volume editors Jake D. Nicosia and James F. Nicosia, this volume gives readers a solid overview of statistics and the major concepts and contemporary issues surrounding the role of probability theory in the world.
This volume contains 150 entries. Each essay begins by specifying related Fields of Study, followed by an Abstract, and then a list of Key Concepts, summarizing important points. All entries end with a helpful Further Reading section.
Entries are broken into three sections:
- Mathematical Foundations of Probability and Statistics
- Research Applications of Probability and Statistics
- Real-World Applications of Probability and Statistics
Entries in Principles of Probability and Statistics range from one to five pages in length. Topics discussed include:
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This volume also explores how probability and statistics are essential to data science, finance and economics, medicine and healthcare, market and social research, engineering, environmental science, sports analytics, quality control and manufacturing, and risk management and insurance.
Many helpful appendices are also featured, including:
- Bibliography
- Glossary
- Organizations
- Subject Index
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