Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

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<p><b><i>Statistical Inference via Data Science: A ModernDive into R and the Tidyverse</i></b> provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout.</p><p>Features:<br>? Assumes minimal prerequisites, notably, no prior calculus nor coding experience<br>? Motivates theory using real-world data, including all domestic flights leaving New York City in 2013, the Gapminder project, and the data journalism website, FiveThirtyEight.com<br>? Centers on simulation-based approa