Foundations of Probability and Statistics: (Book Series P-19/24) (Mastering Mathematical Sciences : Complete 24-Book Series for CSIR NET, JRF, GATE, SET & Ph.D. Entrance Exams) - Tapa blanda
Libro 19 de 23: Mastering Mathematical Sciences : Complete 24-Book Series for CSIR NET, JRF, GATE, SET & Ph.D. Entrance Exams
Sinopsis
Foundations of Probability and Statistics Part 19 of the 24-Volume Mathematical Sciences MCQ Series
Study Material for NET/JRF/SET/GATE/Ph.D. Entrance and Other Mathematics Competitive Examinations
Probability and Statistics form the backbone of modern data analysis, statistical inference, machine learning, and stochastic modeling. This book provides a comprehensive collection of multiple-choice questions designed to strengthen conceptual understanding, analytical reasoning, and problem-solving skills for competitive examinations.
Covering essential topics such as descriptive statistics, exploratory data analysis, probability theory, conditional probability, Bayes' theorem, random variables, probability distributions, expectation, moments, characteristic functions, and important statistical inequalities, the book offers systematic and examination-oriented practice. Carefully selected MCQs help students master fundamental concepts, improve accuracy, and develop confidence in tackling challenging problems.
Designed for aspirants of CSIR-UGC NET (JRF), SET, GATE, Ph.D. Entrance, and other Mathematics examinations, this volume serves as an effective resource for learning, revision, and self-assessment. Whether preparing for competitive examinations or building a strong foundation in probability and statistics, students will find this book an invaluable companion.
Key Features
• Comprehensive coverage of Probability and Statistics
• Examination-oriented MCQs with solutions
• Covers probability distributions, expectation, and moments
• Includes Bayes' theorem, characteristic functions, and statistical inequalities
• Ideal for NET, JRF, SET, GATE, and Ph.D. Entrance preparation
• Part of the 24-Volume Mathematical Sciences MCQ Series
Build Concepts • Practice MCQs • Strengthen Analytical Skills • Achieve Success
"Sinopsis" puede pertenecer a otra edición de este libro.
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Foundations of Probability and Statistics: (Book Series P-19/24) (Mastering Mathematical Sciences : Complete 24-Book Series for CSIR NET, JRF, GATE, SET & Ph.D. Entrance Exams)
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Foundations of Probability and Statistics: (Book Series P-19/24) (Mastering Mathematical Sciences : Complete 24-Book Series for CSIR NET, JRF, GATE, SET & Ph.D. Entrance Exams)
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Paperback. Condición: new. Paperback. Welcome to "Foundations of Probability and Statistics," a vital part of our series designed for aspiring scholars preparing for the CSIR NET (JRF) and various mathematics competitive exams. This book aims to provide a comprehensive introduction to essential statistical concepts and probability theory, crucial for understanding the foundational aspects of advanced mathematical studies. In the first chapter, we delve into descriptive statistics and exploratory data analysis, focusing on measures of central tendency and variability, as well as graphical methods for effective data visualization. Understanding outliers and managing missing data is also emphasized, ensuring that students can analyze real-world datasets accurately. Moving forward, we explore probability theory, beginning with fundamental concepts such as sample spaces and events, before examining discrete probability, independent events, and conditional probabilities through Bayes' Theorem. The subsequent chapters introduce random variables and their distribution functions, detailing both univariate and joint distributions, alongside marginal and conditional distributions. We also cover the crucial topics of expectation and moments, discussing expected values, variance, and the relationships between random variables. Finally, we investigate characteristic functions and key inequalities, including those of Markov, Chebyshev, and Jensen, which serve as powerful tools in statistical analysis. This book serves as both a foundation and a reference for students, guiding them through the intricate landscape of probability and statistics. We hope it inspires a deeper understanding and appreciation of these essential mathematical fields. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798343380354
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Taschenbuch. Condición: Neu. Neuware - Welcome to 'Foundations of Probability and Statistics,' a vital part of our series designed for aspiring scholars preparing for the CSIR NET (JRF) and various mathematics competitive exams. This book aims to provide a comprehensive introduction to essential statistical concepts and probability theory, crucial for understanding the foundational aspects of advanced mathematical studies. In the first chapter, we delve into descriptive statistics and exploratory data analysis, focusing on measures of central tendency and variability, as well as graphical methods for effective data visualization. Understanding outliers and managing missing data is also emphasized, ensuring that students can analyze real-world datasets accurately. Moving forward, we explore probability theory, beginning with fundamental concepts such as sample spaces and events, before examining discrete probability, independent events, and conditional probabilities through Bayes' Theorem. The subsequent chapters introduce random variables and their distribution functions, detailing both univariate and joint distributions, alongside marginal and conditional distributions. We also cover the crucial topics of expectation and moments, discussing expected values, variance, and the relationships between random variables. Finally, we investigate characteristic functions and key inequalities, including those of Markov, Chebyshev, and Jensen, which serve as powerful tools in statistical analysis. This book serves as both a foundation and a reference for students, guiding them through the intricate landscape of probability and statistics. We hope it inspires a deeper understanding and appreciation of these essential mathematical fields. Nº de ref. del artículo: 9798343380354
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