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Chaput, J. Scott; Crack, Timothy Falcon; Onishchenko, Olena – Journal of Statistics and Data Science Education, 2021
How accurately can final-year students majoring in statistics, physics, and finance label the vertical axis of a normal distribution, explain their label, identify units, and answer a question about the impact of horizontal-axis rescaling? Our survey finds that only 27 out of 148 students surveyed (i.e., 18.2%) could label the vertical axis of the…
Descriptors: Undergraduate Students, Advanced Students, Business Administration Education, Mathematics Skills
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Page, Robert B.; Espinosa, James; Mares, Chris A.; Del Pilar, Joselyn; Shelton, G. Robert – Journal of College Science Teaching, 2018
Education is frequently cited as the path to an informed citizenry with an optimistic economic outlook. Consequently, it is not surprising that there is an initiative to extend postsecondary educational opportunities to underserved and at-risk demographics. A challenge facing educators that serve at-risk populations is the tension between…
Descriptors: At Risk Students, STEM Education, Academic Achievement, Statistical Distributions
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Lem, Stephanie; Baert, Kathy; Ceulemans, Eva; Onghena, Patrick; Verschaffel, Lieven; Van Dooren, Wim – Educational Psychology, 2017
The ability to interpret graphs is highly important in modern society, but has proven to be a challenge for many people. In this paper, two teaching methods were used to remediate one specific misinterpretation: the area misinterpretation of box plots. First, we used refutational text to explicitly state and invalidate the area misinterpretation…
Descriptors: Graphs, Teaching Methods, Misconceptions, Statistical Data
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Kaplan, Jennifer J.; Gabrosek, John G.; Curtiss, Phyllis; Malone, Chris – Journal of Statistics Education, 2014
Histograms are adept at revealing the distribution of data values, especially the shape of the distribution and any outlier values. They are included in introductory statistics texts, research methods texts, and in the popular press, yet students often have difficulty interpreting the information conveyed by a histogram. This research identifies…
Descriptors: Statistical Distributions, Graphs, Undergraduate Students, Misconceptions
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Lem, Stephanie; Onghena, Patrick; Verschaffel, Lieven; Van Dooren, Wim – Educational Psychology, 2013
Recent studies have shown that the interpretation of graphs is not always easy for students. In order to reason properly about distributions of data, however, one needs to be able to interpret graphical representations of these distributions correctly. In this study, we used Tversky's principles for the design of graphs to explain how 125…
Descriptors: Graphs, Data Interpretation, College Freshmen, Design
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Kahle, David – Journal of Statistics Education, 2014
In this article, I introduce a novel applet ("module") for exploring probability distributions, their samples, and various related statistical concepts. The module is primarily designed to be used by the instructor in the introductory course, but it can be used far beyond it as well. It is a free, cross-platform, stand-alone interactive…
Descriptors: Monte Carlo Methods, Learning Modules, Probability, Statistical Distributions
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Simsek, Omer; Yazar, Taha – Eurasian Journal of Educational Research, 2016
Problem Statement: The educational technology standards for teachers set by the International Society for Technology in Education (the ISTE Standards-T) represent an important framework for using technology effectively in teaching and learning processes. These standards are widely used by universities, educational institutions, and schools. The…
Descriptors: Educational Technology, Self Efficacy, Validity, Reliability
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Lem, Stephanie; Onghana, Patrick; Verschaffel, Lieven; Van Dooren, Wim – Statistics Education Research Journal, 2013
Data distributions can be represented using different external representations, such as histograms and boxplots. Although the role of external representations has been extensively studied in mathematics, this is less the case in statistics. This study helps to fill this gap by systematically varying the representation that accompanies a task…
Descriptors: Foreign Countries, Graphs, Statistical Distributions, College Freshmen
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Laumakis, Paul – Mathematics Teacher, 2011
When taking mathematics courses, students will sometimes ask their recurring question, "When will I ever use this in real life?" Educators are often unable to provide a direct connection between what they are teaching in the classroom and a real-life application. However, when such an opportunity does arise, they should seize it and…
Descriptors: Regression (Statistics), Mathematics Instruction, Mathematics, Mathematics Curriculum
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Bruno, A.; Espinel, M. C. – International Journal of Mathematical Education in Science and Technology, 2009
This article details the results of a written test designed to reveal how education majors construct and evaluate histograms and frequency polygons. Included is a description of the mistakes made by the students which shows how they tend to confuse histograms with bar diagrams, incorrectly assign data along the Cartesian axes and experience…
Descriptors: Education Majors, Mathematical Models, Statistical Distributions, Geometric Concepts
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Wagner, Clifford H. – Teaching Statistics: An International Journal for Teachers, 2007
Standard distributions are ubiquitous but not unique. With suitable scaling, the graph of a standard distribution serves as the graph for every distribution in the family. The standard exponential can easily be taught in elementary statistics courses.
Descriptors: Statistical Distributions, Higher Education, Elementary Secondary Education, Mathematics Instruction