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Beth Chance; Karen McGaughey; Sophia Chung; Alex Goodman; Soma Roy; Nathan Tintle – Journal of Statistics and Data Science Education, 2025
"Simulation-based inference" is often considered a pedagogical strategy for helping students develop inferential reasoning, for example, giving them a visual and concrete reference for deciding whether the observed statistic is unlikely to happen by chance alone when the null hypothesis is true. In this article, we highlight for teachers…
Descriptors: Simulation, Sampling, Randomized Controlled Trials, Hypothesis Testing
Lucy D'Agostino McGowan; Travis Gerke; Malcolm Barrett – Journal of Statistics and Data Science Education, 2024
This article introduces a collection of four datasets, similar to Anscombe's quartet, that aim to highlight the challenges involved when estimating causal effects. Each of the four datasets is generated based on a distinct causal mechanism: the first involves a collider, the second involves a confounder, the third involves a mediator, and the…
Descriptors: Statistics Education, Programming Languages, Statistical Inference, Causal Models
Finch, Sue; Gordon, Ian – Teaching Statistics: An International Journal for Teachers, 2023
Providing a rich context has become a sine qua non of principled teaching of applied statistical thinking. With increasing opportunities to access secondary data, there should be increasing opportunity to work with rich context. We review the contextual information provided in 41 data sets suitable for introductory tertiary statistics teaching,…
Descriptors: Statistics Education, Literacy, Introductory Courses, Statistical Analysis
Panchompoo Wisittanawat; Richard Lehrer – Cognition and Instruction, 2024
This report characterizes forms of dialogic support that a sixth-grade teacher generated during whole-class and small-group conversations to help students develop a practice of statistical modeling. During four weeks of instruction, students constructed and revised models to account for variability and uncertainty across a variety of random…
Descriptors: Statistics Education, Mathematical Models, Grade 6, Evaluation Methods
Podworny, Susanne; Biehler, Rolf – Mathematical Thinking and Learning: An International Journal, 2022
Inferential reasoning is an integral part of science and civic society, but research shows that it is a problematic domain for many people. One possibility for a more accessible approach to inferential reasoning is to use randomization tests via computer simulations. A case study was conducted with primary preservice teachers after they had passed…
Descriptors: Statistics Education, Statistical Inference, Simulation, Preservice Teacher Education
Tim Erickson – Australian Mathematics Education Journal, 2023
This short article continues the exploration of the Common Online Data Analysis Platform (CODAP) and statistics begun in the previous article "Statistical Investigations and CODAP, Part 1: EDA." In Part 2, the author discusses the teaching of statistical inference focusing on activities for the senior secondary years. In particular, the…
Descriptors: Computer Software, Statistics Education, Statistical Inference, Secondary Education
Mortaza Jamshidian; Parsa Jamshidian – Journal of Statistics and Data Science Education, 2024
Using software to teach statistical inference in introductory courses opens the door for methods and practices that are more conceptually appealing to students. With an increasing number of fields requiring competency in statistics including data science, natural and social sciences, public health and more, it is crucial that we as instructors…
Descriptors: Computer Software, Computer Assisted Instruction, Teaching Methods, Statistics Education
Jennifer Hill; George Perrett; Stacey A. Hancock; Le Win; Yoav Bergner – Statistics Education Research Journal, 2024
Most current statistics courses include some instruction relevant to causal inference. Whether this instruction is incorporated as material on randomized experiments or as an interpretation of associations measured by correlation or regression coefficients, the way in which this material is presented may have important implications for…
Descriptors: Statistics Education, Causal Models, Statistical Inference, College Students
Estrella, Soledad; Mendez-Reina, Maritza; Olfos, Raimundo; Aguilera, Jocelyn – International Journal for Lesson and Learning Studies, 2022
Purpose: This study aims to describe the pedagogical content knowledge (PCK) of a kindergarten educator who implements a lesson plan about informal inferential reasoning designed in a lesson study group. Design/methodology/approach: To this end, we analyzed teaching interventions in two kindergarten lessons focused on the playful task of tossing…
Descriptors: Statistics Education, Kindergarten, Preschool Teachers, Pedagogical Content Knowledge
Estrella, Soledad; Méndez-Reina, Maritza; Vidal-Szabó, Pedro – Statistics Education Research Journal, 2023
Recent research suggests the benefits of supporting a progressive understanding of concepts of inference prior to the teaching of procedures and formal calculations through the study of informal statistical inference (ISI). To contribute to the growing knowledge about the early learning and teaching of statistics, particularly regarding the…
Descriptors: Grade 3, Elementary School Students, Learning Trajectories, Statistics Education
Wilkerson, Michelle Hoda; Lanouette, Kathryn; Shareff, Rebecca L. – Mathematical Thinking and Learning: An International Journal, 2022
Data preparation (also called "wrangling" or "cleaning") -- the evaluation and manipulation of data prior to formal analysis -- is often dismissed as a precursor to meaningful engagement with a dataset. Here, we re-envision data preparation in light of calls to prepare students for a data-rich world. Traditionally, curricular…
Descriptors: Data Science, Information Literacy, Data Analysis, Secondary School Students
Loy, Adam – Journal of Statistics and Data Science Education, 2021
In the classroom, we traditionally visualize inferential concepts using static graphics or interactive apps. For example, there is a long history of using apps to visualize sampling distributions. The lineup protocol for visual inference is a recent development in statistical graphics that has created an opportunity to build student understanding.…
Descriptors: Statistics Education, Statistical Inference, Visualization, Visual Aids
Bay Arinze – Journal of Statistics and Data Science Education, 2023
Data Analytics has grown dramatically in importance and in the level of business deployments in recent years. It is used across most functional areas and applications, some of the latter including market campaigns, detecting fraud, determining credit, identifying assembly line defects, health services and many others. Indeed, the realm of…
Descriptors: Data Analysis, Elections, Simulation, Statistics Education
Per Nilsson; Andreas Eckert – Mathematical Thinking and Learning: An International Journal, 2024
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 on a design experiment in secondary school (students 14-16 years old), that resulted in a set of lessons with the learning goal of teaching students how to apply…
Descriptors: Mathematics Instruction, Teaching Methods, Hypothesis Testing, Secondary School Students
Ung Hua Lau; Zaidatun Tasir – Educational Technology Research and Development, 2024
An online authentic learning environment (OnALE) is proposed in this study to facilitate students' learning of inferential statistics in a real-life context. The efficacy of the OnALE, in comparison to the conventional approach relative to the students' performance, was explored. Respondents from the experimental group were purposively selected to…
Descriptors: Online Courses, Authentic Learning, Academic Achievement, Comparative Analysis