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

This study examines informal hypothesis testing in the context of drawing inferences of
underlying probability distributions. Through a small-scale teaching experiment of three …

This study contributes to the call for influencing practice by increasing attention to how
learning environments can be designed to support learning in statistical inference. We report …

Resumen (Objetivo) El objetivo del trabajo es evaluar el conocimiento didáctico-matemático
de profesores españoles en formación sobre la distribución de la media muestral …

Since statistical inference is a probabilistic generalization about a population analyzed on
the basis of a sample, inferential reasoning demands producing reasons (statistical and …

Despite statistics learning becoming more important during this information explosion era,
many students still deem the subject complex and challenging. Measures of dispersion, a …

Adjustments to life and learning following the COVID-19 pandemic have transformed user
acceptance of online learning methods. It is, therefore, imperative to analyse factors relating …

The importance of statistical learning has been widely discussed. However, little effort has
been made to understand the difficulties of students in learning measure of dispersion …

The aim of the work was to assess prospective Spanish secondary school mathematics
teachers' knowledge of sampling representativeness and variability. To achieve this goal, a …

In this paper, the SOLO taxonomy is used to identify different levels of student understanding
of the statistical concepts associated with sampling distribution. This study was part of a …