Name: A Primer on Data Management, Statistical Analysis, and Associated Techniques (en Inglés)
SKU: 68900489
Price: 172.90 USD
Availability: InStock
Author: Fields, Brandon
ISBN: 9798887159034

portada A Primer on Data Management, Statistical Analysis, and Associated Techniques (en Inglés)

A Primer on Data Management, Statistical Analysis, and Associated Techniques (en Inglés)

Formato

Libro Físico

Editorial

Oryson Press

Autor

Fields, Brandon

Idioma

Inglés

N° páginas

228

Encuadernación

Tapa Dura

ISBN13

9798887159034

A Primer on Data Management, Statistical Analysis, and Associated Techniques (en Inglés)

Fields, Brandon (Autor) · Oryson Press · Tapa Dura

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Reseña del libro "A Primer on Data Management, Statistical Analysis, and Associated Techniques (en Inglés)"

A Primer on Data Management, Statistical Analysis, and Associated Techniques "A Primer on Data Management, Statistical Analysis, and Associated Techniques" addresses the critical need for robust data handling and analytical rigor in an increasingly data-driven world. Effective data management is paramount for ensuring data quality, accessibility, and integrity, while statistical analysis provides the tools to uncover insights and make evidence-based decisions. Navigating the complexities of diverse datasets, selecting appropriate methodologies, and interpreting findings accurately present significant challenges across scientific, business, and social domains. This book systematically explores foundational data management principles, including best practices and policy considerations. It delves into advanced statistical concepts such as the multivariate normal distribution, measurement theory, and both exploratory and confirmatory factor analysis for dimension reduction and model evaluation. Further topics include random variables, comprehensive data analysis techniques from collection to communication, fundamental statistical concepts, hypothesis testing, statistical inference, and the principles of data mining. The book also examines mediation and moderation effects in statistical modeling. This essential resource is designed for students, researchers, and professionals seeking a comprehensive understanding of data management and statistical analysis.