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Jorge N. Tendeiro; Rink Hoekstra; Tsz Keung Wong; Henk A. L. Kiers – Teaching Statistics: An International Journal for Teachers, 2025
Most researchers receive formal training in frequentist statistics during their undergraduate studies. In particular, hypothesis testing is usually rooted on the null hypothesis significance testing paradigm and its p-value. Null hypothesis Bayesian testing and its so-called Bayes factor are now becoming increasingly popular. Although the Bayes…
Descriptors: Statistics Education, Teaching Methods, Programming Languages, Bayesian Statistics
Patrick Kuok Kun Chu – Teaching Statistics: An International Journal for Teachers, 2025
Statistics knowledge, literacy, and skills are vital to undergraduates' academic and professional careers. Students' attitudes toward statistics play a vital role in their understanding of the importance of statistics. Therefore, it is important to examine their attitude toward statistics. This study investigated the attitude of 153 business…
Descriptors: Undergraduate Students, Student Attitudes, Business Administration Education, Statistics
Liza Bondurant; Stephanie Somersille – Mathematics Teacher: Learning and Teaching PK-12, 2024
This article describes an activity and resource from The New York Times that can be used to help learners cultivate critical statistical literacy. Critical statistical literacy involves understanding, interpreting, and questioning statistical information to make informed decisions (Casey et al., 2023; Franklin et al., 2015; Weiland, 2017). It is a…
Descriptors: Statistics Education, Teaching Methods, Newspapers, Decision Making
Tackett, Maria – Journal of Statistics and Data Science Education, 2023
As data have become more prevalent in academia, industry, and daily life, it is imperative that undergraduate students are equipped with the skills needed to analyze data in the modern environment. In recent years there has been a lot of work innovating introductory statistics courses and developing introductory data science courses; however,…
Descriptors: Educational Change, Undergraduate Students, Regression (Statistics), Statistics Education
Karoline Smucker; Francisco Sepúlveda; Travis Weiland; Susan Cannon; Stephanie Casey; Sunghwan Byun – Mathematics Teacher: Learning and Teaching PK-12, 2024
Statistics has been a content domain in the mathematics curriculum for decades. However, statistics is a distinct discipline from mathematics and there are important differences in how one should teach the two disciplines. In this article, the authors consider how these differences can inform an adaptation to the 5 Practices for Orchestrating…
Descriptors: Statistics, Statistics Education, Mathematics Instruction, Teaching Methods
Farid Gunadi; Yaya S. Kusumah; Dadang Juandi; Dadan Dasari – European Journal of STEM Education, 2025
Statistical reasoning is a crucial mathematical competency that students often lack. While there have been studies on the use of Android teaching materials in statistics learning, few have focused on statistical reasoning using comic media. This study aimed to develop mobile Android-based teaching materials called StatCom to enhance students'…
Descriptors: Instructional Materials, Handheld Devices, Telecommunications, Statistics Education
Ann M. Brearley; Kollin W. Rott; Laura J. Le – Journal of Statistics and Data Science Education, 2023
We present a unique and innovative course, Biostatistical Literacy, developed at the University of Minnesota. The course is aimed at public health graduate students and health sciences professionals. Its goal is to develop students' ability to read and interpret statistical results in the medical and public health literature. The content spans the…
Descriptors: Statistics Education, Data Interpretation, Teaching Methods, Biology
Lilin Tong; Bethany J. G. White; Jastaranpreet Singh – Journal of Biological Education, 2024
There is widespread misuse of statistics in research, particularly in the life sciences, which is one of the contributing factors to reproducibility concerns in research. However, the formal quantitative training that life sciences research trainees receive is often quite limited. Our survey of statistics requirements in undergraduate life…
Descriptors: Interdisciplinary Approach, Statistics, Statistics Education, Biological Sciences
Alicia M. Chen; Andrew Palacci; Natalia Vélez; Robert D. Hawkins; Samuel J. Gershman – Cognitive Science, 2024
How do teachers learn about what learners already know? How do learners aid teachers by providing them with information about their background knowledge and what they find confusing? We formalize this collaborative reasoning process using a hierarchical Bayesian model of pedagogy. We then evaluate this model in two online behavioral experiments (N…
Descriptors: Bayesian Statistics, Models, Teaching Methods, Evaluation
Smith, Lynette M.; Yu, Fang; Schmid, Kendra K. – Journal of Statistics and Data Science Education, 2021
Replication and reproducibility are an important component of scientific research. One reason research is not replicable is the misuse of statistical techniques. Educators can teach the importance of research replication by having students perform a replication study as part of a graduate assistantship or their coursework. In this article, we…
Descriptors: Replication (Evaluation), Scientific Research, Biology, Statistics
J. S. Allison; L. Santana; I. J. H. Visagie – Teaching Statistics: An International Journal for Teachers, 2025
Given sample data, how do you calculate the value of a parameter? While this question is impossible to answer, it is frequently encountered in statistics classes when students are introduced to the distinction between a sample and a population (or between a statistic and a parameter). It is not uncommon for teachers of statistics to also confuse…
Descriptors: Statistics Education, Teaching Methods, Computation, Sampling
Georgina Maria Tinungki; Powell Gian Hartono; Budi Nurwahyu; Anna Islamiyati; Robiyanto Robiyanto; Agus Budi Hartono; Muhammad Yaasiin Raya – Cogent Education, 2024
Self-proficiency, distinct from self-efficacy, is a more comprehensive dimension in assessing students' abilities. Moreover, the TAI cooperative learning model is believed to be relevant in enhancing self-proficiency, as well as other mathematical ability dimensions, particularly in Statistics course. Therefore, this study aimed to assess the…
Descriptors: Foreign Countries, Undergraduate Students, Statistics Education, Mathematics Instruction
Allison Davidson – Journal of Statistics and Data Science Education, 2024
An investigative project can engage the learner in all aspects of a statistical investigation, including developing a question or issue of interest, gathering needed information, exploring the data, and communicating the results. This article summarizes the available literature regarding the implementation of investigative projects, including the…
Descriptors: Student Projects, Active Learning, Statistics Education, Educational Benefits
Pearl, Dennis K.; Lesser, Lawrence M. – Teaching Statistics: An International Journal for Teachers, 2021
Jokes, cartoons, songs, poems, and games can be useful ways to engage students in discussion and learning key concepts about regression.
Descriptors: Statistics Education, Teaching Methods, Regression (Statistics), Humor
Berg, Arthur – Teaching Statistics: An International Journal for Teachers, 2021
The topic of Bayesian updating is explored using standard and non-standard dice as an intuitive and motivating model. Details of calculating posterior probabilities for a discrete distribution are provided, offering a different view to P-values. This article also includes the stars and bars counting technique, a powerful method of counting that is…
Descriptors: Bayesian Statistics, Teaching Methods, Statistics Education, Intuition

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