£65.36

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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 this comprehensive textbook from Springer. Designed for students and researchers in the experimental sciences, this book provides the essential tools to develop statistical thinking through descriptive, inductive, and explorative methods. As data analysis becomes a central part of scientific study, this text helps readers navigate the entire research process. You will learn to judge the credibility of data, analyze complex datasets, and evaluate the reliability of results. By following the guided approach, you can learn to draw correct and appropriate conclusions from your findings. The inclusion of exercises, solutions, and applications in R makes this an ideal resource for practical learning and interdisciplinary research.

Key Features

This Springer textbook covers essential descriptive, inductive, and explorative statistical methods.

The content guides readers through the full process of quantitative data analysis for scientific study.

Includes practical applications in R to help develop hands-on statistical thinking skills.

Provides exercises and solutions to assist in mastering data analysis techniques.

Focuses on evaluating data credibility and the reliability of obtained research results.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
01 September 2018
Listed Since
04 September 2018

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