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Danny L'Boy; R. Nazim Khan – International Journal of Mathematical Education in Science and Technology, 2023
Statistical literacy has a large and important role in the teaching of statistics. Most mathematics and statistics courses are hierarchical, and the earlier material forms the foundation for later material. We construct a hierarchical structure for an introductory statistics course using Rasch analysis of the student scripts for the final…
Descriptors: Statistics Education, Statistics, Literacy, Introductory Courses
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Lübke, Karsten; Gehrke, Matthias; Horst, Jörg; Szepannek, Gero – Journal of Statistics Education, 2020
Basic knowledge of ideas of causal inference can help students to think beyond data, that is, to think more clearly about the data generating process. Especially for (maybe big) observational data, qualitative assumptions are important for the conclusions drawn and interpretation of the quantitative results. Concepts of causal inference can also…
Descriptors: Inferences, Simulation, Attribution Theory, Teaching Methods
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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
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Engledowl, Christopher; Weiland, Travis – Journal of Statistics and Data Science Education, 2021
The novel coronavirus has forced the world to interact with data visualizations in order to make decisions at the individual level that have, sometimes, grave consequences. As a result, the lack of statistical literacy among the general public, as well as organizations that have a responsibility to share accurate, clear, and timely information…
Descriptors: Data Interpretation, COVID-19, Pandemics, Deception
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Warner, Jared – PRIMUS, 2019
We describe a semester-long project for an introductory statistics class that studies the broken windows theory of policing and the related issues of race, policing, and criminal justice. The most impactful feature of the project is the data-collection phase, in which students attend and observe a public arraignment court session. This "Court…
Descriptors: Police, Race, Correctional Rehabilitation, Statistics
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Hogan, Thomas P.; Zaboski, Brian A.; Perry, Tiffany R. – Statistics Education Research Journal, 2015
How does the student untrained in advanced statistics interpret results of research that reports a group difference? In two studies, statistically untrained college students were presented with abstracts or professional associations' reports and asked for estimates of scores obtained by the original participants in the studies. These estimates…
Descriptors: College Students, Research Reports, Statistics, Data Interpretation
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Pruzek, Robert M.; Helmreich, James E. – Journal of Statistics Education, 2009
A standard topic in many Introductory Statistics courses is the analysis of dependent samples. A simple graphical approach that is particularly relevant to dependent sample comparisons is presented, illustrated and discussed in the context of analyzing five real data sets. Each data set to be presented has been published in a textbook, usually…
Descriptors: Statistics, Introductory Courses, Sampling, Data Analysis
Colon-Rosa, Hector Wm. – ProQuest LLC, 2012
Considering the range of changes in the instruction and learning of statistics, several questions emerge regarding how those changes influence students' attitudes. Equally, other questions emerge to reflect that statistics is a fundamental course in the university academic programs because of its relevance to the professional development of the…
Descriptors: Undergraduate Students, Student Attitudes, Statistics, Introductory Courses