Keywords: inference, tidyverse, R, computing, SBI
Introductory statistics courses have long been plagued by a reputation for being a dull collection of numerical recipes that students must memorize. Statistical educators have developed many approaches to combat this notion; this talk will focus on a computational approach. The infer package for R distills myriad inferential routines into handful of meaningful foundational components that express the statistical concepts at play. This talk discusses the pedagogical advantages of a distilled approach to statistical inference, demonstrates the package on a selection of topics that appear in introductory statistics, and places it in the context of the broader development of the tidyverse software ecosystem for data science.