Statistical Inference via Data Science - A ModernDive into R and ...
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Infohash : C657A4A7D052075FE516B6D0E30A3D2F132E9B76
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse, 2nd Edition
https://WebToolTip.com
English | 2025 | ISBN: 9781032724546 | 491 pages | True PDF | 38.38 MB
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse, Second Edition offers a comprehensive guide to learning statistical inference with data science tools widely used in industry, academia, and government. The first part of this book introduces the tidyverse suite of R packages, including ggplot2 for data visualization and dplyr for data wrangling. The second part introduces data modeling via simple and multiple linear regression. The third part presents statistical inference using simulation-based methods within a general framework implemented in R via the infer package, a suitable complement to the tidyverse. By working with these methods, readers can implement effective exploratory data analyses, conduct statistical modeling with data, and carry out statistical inference via confidence intervals and hypothesis testing. All of these tasks are performed by strongly emphasizing data visualization.
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- Bonus Resources.txt (0.1 KB)
- StatisticalInferenceviaDataScience,2nd.pdf (38.4 MB)
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