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Taasoobshirazi, Gita; Wagner, Madeleine; Brown, Austin; Copeland, Colene – Journal of Statistics and Data Science Education, 2022
The widely used Draw a Scientist Test was revised to focus on statistics and 110 Elementary Statistics students were asked to draw a statistician. In addition, to better understand students' drawings and have some relative comparison, 173 College Algebra students were asked to draw a mathematician. A detailed analysis of students' images and…
Descriptors: Mathematics, Professional Personnel, Freehand Drawing, Stereotypes
Osler, James Edward – Journal on School Educational Technology, 2016
This paper provides a novel instructional methodology that is a unique E-Learning engineered "4A Metric Algorithm" designed to conceptually address the four main challenges faced by 21st century students, who are tempted to cheat in a myriad of higher education settings (face to face, hybrid, and online). The algorithmic online…
Descriptors: Electronic Learning, Cheating, Recidivism, Mathematics
Mackenzie, Helen; Tolley, Harry; Croft, Tony; Grove, Michael; Lawson, Duncan – Journal of Higher Education Policy and Management, 2016
This article explores the perspectives of three senior managers in higher education institutions in England regarding their mathematics and statistics support provision. It does so by means of a qualitative case study that draws upon the writing of Ronald Barnett about the identity of an "ecological" university, along with metaphors…
Descriptors: Mathematics, Statistics, Higher Education, Holistic Approach
Erhardt, Robert J.; Shuman, Michael P. – Journal of Statistics Education, 2015
At Wake Forest University, a student who is blind enrolled in a second course in statistics. The course covered simple and multiple regression, model diagnostics, model selection, data visualization, and elementary logistic regression. These topics required that the student both interpret and produce three sets of materials: mathematical writing,…
Descriptors: Blindness, Statistics, College Mathematics, College Students
Afshartous, David; Preston, Richard A. – Journal of Statistics Education, 2011
We consider the effect on estimation of simultaneous variable centering and interaction effects in linear regression. We technically define, review, and amplify many of the statistical issues for interaction models with centering in order to create a useful and compact reference for teachers, students, and applied researchers. In addition, we…
Descriptors: Interaction, Regression (Statistics), Computation, Research Methodology
Guastella, Ivan; Fazio, Claudio; Sperandeo-Mineo, Rosa Maria – European Journal of Physics, 2012
A procedure modelling ideal classical and quantum gases is discussed. The proposed approach is mainly based on the idea that modelling and algorithm analysis can provide a deeper understanding of particularly complex physical systems. Appropriate representations and physical models able to mimic possible pseudo-mechanisms of functioning and having…
Descriptors: Predictive Validity, Quantum Mechanics, Science Education, Science Instruction
Alcock, Lara; Inglis, Matthew – Journal of Mathematical Behavior, 2009
Weber (2009) suggested that counterexamples can be generated by a syntactic proof production, apparently contradicting our earlier assertion (Alcock & Inglis, 2008). Here we point out that this ostensible difference is the result of Weber working with theoretical definitions that differ slightly from ours. We defend our approach by arguing that…
Descriptors: Mathematics Instruction, Mathematical Logic, Validity, Probability
Muhanna, Wafa – Journal of College Teaching & Learning, 2012
The purpose of this study is to investigate the effect of using web-based curricula on seventh grade students' achievement in mathematics in King Abdullah School in Irbid, Jordan. The researcher followed the equivalent pre/post T-test two group designs. To achieve the aim of the study, a pre/post-test was constructed to measure students'…
Descriptors: Academic Achievement, Mathematics Achievement, Statistical Analysis, Foreign Countries
Burke; Michael C. – Carnegie Foundation for the Advancement of Teaching, 2007
Quantitative literacy, the ability to discriminate between good and bad data, the disposition to use quantitative information to think through complex problems are capacities that educators across fields should be helping students develop. Burke leads the reader to this conclusion through an extended example of income distribution, clarified and…
Descriptors: Numeracy, Data Analysis, Graphs, Statistics
Hombas, Vassilios – International Journal of Mathematical Education in Science and Technology, 2004
The mean and variance of the number of turning points in random permutations of two kinds of distinct elements are evaluated. These results are applied to a Wald-Wolfowitz run test.
Descriptors: Statistics, Mathematics, Mathematical Formulas, Computation
Bhushan, Vidya – 1969
Presented is a linear program for matrix algebra required in a first course in multivariate educational statistics. The purpose of the program is to enable graduate students, through self instruction, to acquire sufficient knowledge of matrix algebra to meet the prerequisite of a course in multivariate statistics of a type taught in a department…
Descriptors: College Mathematics, Instruction, Instructional Materials, Mathematics

Lancaster, H. O. – Australian Mathematics Teacher, 1972
Descriptors: Algebra, College Mathematics, Geometric Concepts, Mathematics
Conway, Freda – Mathematics Teaching, 1970
Descriptors: College Mathematics, Graphs, Mathematical Models, Mathematics

Dambolena, I. G. – Mathematics and Computer Education, 1986
Computer simulation provides an effective vehicle for teaching many concepts, especially in probability and statistics. Described is a simulation for the applicability of the t distribution to the estimation of a population mean when the standard deviation of the population is unknown. (MNS)
Descriptors: College Mathematics, Computer Simulation, Higher Education, Mathematics

Wardrop, Mary R.; Wardrop, Robert F., Eds. – American Mathematical Monthly, 1984
Properties of the arithmetic mean and the geometric mean are discussed, with an analogy between additive multiplicative averages. Drawing analogies between symbols and relations is proposed as a way of strengthening students' understanding and enriching the study of elementary statistics. (MNS)
Descriptors: College Mathematics, Higher Education, Mathematics, Mathematics Instruction