Introduction to Statistics and Data Analysis: With Exercises, Solutions and Applications in R
Introduction to Statistics and Data Analysis: With Exercises, Solutions and Applications in R
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An introductory statistics textbook for undergraduate students, covering descriptive, inductive, and explorative statistical methods and quantitative data analysis. It includes new chapters on logistic regression, simple random sampling, and causal inference with examples, exercises, and computer code in R.
Format: Hardback
Length: 584 pages
Publication date: 31 January 2023
Publisher: Springer International Publishing AG
This comprehensive introductory statistics textbook, now in its second edition, serves as a vital resource for developing and nurturing statistical thinking. It encompasses a wide range of essential concepts and tools necessary for conducting quantitative data analysis. The book presents descriptive, inductive, and explorative statistical methods, guiding readers through the intricate process of data interpretation. In this revised and expanded edition, new chapters have been added on topics such as logistic regression, simple random sampling, including bootstrapping, and causal inference.
The text is primarily designed for undergraduate students enrolled in disciplines like business administration, social sciences, medicine, politics, and macroeconomics. It offers a wealth of real-world examples, exercises, and solutions accompanied by computer code in the statistical programming language R. Additionally, supplementary material is provided to facilitate the reader's ability to apply these methods to their specific applications.
By presenting a balanced and comprehensive coverage of statistical principles, this textbook equips students with the skills and knowledge required to analyze data, make informed decisions, and draw meaningful conclusions in today's data-driven world. Whether you are a novice or seeking to enhance your statistical expertise, this textbook is an invaluable resource for your academic journey.
Weight: 1063g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031118326
Edition number: 2nd ed. 2022
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