This paper provides an overview of current research on teaching and learning statistics,
summarizing studies that have been conducted by researchers from different disciplines and …

The goal of this article is to introduce the topic of learning to reason from samples, which is
the focus of this special issue of Educational Studies in Mathematics on statistical reasoning …

This book reveals the development of students' understanding of statistical literacy. It
provides a way to" see" student thinking and gives readers a deeper sense of how students …

Informal inferential reasoning is a relatively recent concept in the research literature. Several
research studies have defined this type of cognitive process in slightly different ways. In this …

This paper describes the importance of developing students' reasoning about samples and
sampling variability as a foundation for statistical thinking. Research on expert–novice …

Drawing conclusions from the comparison of datasets using informal statistical inference is a
challenging task since the nature and type of reasoning expected is not fully understood. In …

A Guide to Teaching Statistics: Innovations and Best Practices addresses the critical aspects
of teaching statistics to undergraduate students, acting as an invaluable tool for both novice …

Currently, instruction pays little attention to the development of students' sampling variability
reasoning in relation to statistical inference. In this paper, we briefly discuss the especially …

Understanding and reasoning about variability is viewed by statisticians as the core
component of statistical thinking (eg, Hoerl & Snee, 2001; Moore, 1990; Snee, 1990), which …

Statistical modeling continues to gain prominence in the secondary curriculum, and recent
recommendations to emphasize data science and computational thinking may soon position …