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Springer Introduction to Statistics and Data Analysis in R

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Description

Master the fundamentals of quantitative data analysis with the second edition of Introduction to Statistics and Data Analysis by Springer. This textbook provides the essential tools and concepts needed to develop statistical thinking through descriptive, inductive, and explorative methods. This revised edition expands on core topics with new chapters covering logistic regression, simple random sampling, bootstrapping, and causal inference. Designed to guide readers through the entire process of data analysis, the text includes exercises, solutions, and practical applications using R. It is an ideal resource for undergraduate students in business administration, social sciences, medicine, and politics seeking to build a strong foundation in statistical methods.

Key Features

This second edition from Springer provides essential concepts and tools to help students develop and nurture statistical thinking.

The textbook guides readers through the full process of quantitative data analysis using descriptive, inductive, and explorative methods.

New chapters in this revised edition cover logistic regression, simple random sampling, bootstrapping, and causal inference.

Practical learning is supported through included exercises, solutions, and real-world applications in R.

The content is designed for undergraduate students in fields such as business administration, medicine, politics, and the social sciences.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 January 2023
Listed Since
16 June 2022

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