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Justice, Nicola; Morris, Samantha; Henry, Veronique; Fry, Elizabeth Brondos – Statistics Education Research Journal, 2020
Statistics students' conceptions of the work of statisticians and the discipline of statistics may play an important role in the topics to which they attend and their interest in pursuing further study. To learn about students' conceptions, we collected open-ended survey responses from 44 undergraduate students who had completed introductory…
Descriptors: Student Attitudes, Statistics, Undergraduate Students, Introductory Courses
Chu, Chi Wing; Chan, Kevin L. T.; Chan, Wai-Sum; Kwong, Koon-Shing – International Journal of Mathematical Education in Science and Technology, 2017
The mathematics education literature shows that encouraging students to develop multiple solutions for given problems has a positive effect on students' understanding and creativity. In this paper, we present an example of multiple-solution problems in statistics involving a set of non-traditional dice. In particular, we consider the exact…
Descriptors: Mathematics Instruction, Statistics, Probability, Games
Kuzmak, Sylvia – Statistics Education Research Journal, 2016
Teaching probability and statistics is more than teaching the mathematics itself. Historically, the mathematics of probability and statistics was first developed through analyzing games of chance such as the rolling of dice. This article makes the case that the understanding of probability and statistics is dependent upon building a…
Descriptors: Statistics, Probability, Schemata (Cognition), Undergraduate Students
Wheeler, Ann; Champion, Joe – Mathematics Teaching in the Middle School, 2016
Students are faced with many transitions in their middle school mathematics classes. To build knowledge, skills, and confidence in the key areas of algebra and geometry, students often need to practice using numbers and polygons in a variety of contexts. Teachers also want students to explore ideas from probability and statistics. Teachers know…
Descriptors: Probability, Middle School Students, Mathematics, Mathematics Instruction
Aaberg, Shelby; Vitosh, Jason; Smith, Wendy – Mathematics Teacher, 2016
A classic TV commercial once asked, "How many licks does it take to get to the center of a Tootsie Roll Tootsie Pop?" The narrator claims, "The world may never know" (Tootsie Roll 2012), but an Internet search returns a multitude of answers, some of which include rigorous systematic approaches by academics to address the…
Descriptors: Statistics, Hypothesis Testing, Mathematics, Mathematics Education
Lesser, Lawrence; Wagler, Amy – Journal of Computers in Mathematics and Science Teaching, 2016
This article provides tools and rationale for instructors in math and science to make their assessment and curriculum materials (more) readable for students. The tools discussed (MSWord, LexTutor, Coh-Metrix TEA) are readily available linguistic analysis applications that are grounded in current linguistic theory, but present output that can…
Descriptors: Outcomes of Education, Readability, Instructional Materials, Statistics
Maeda, Hotaka; Zhang, Bo – International Journal of Testing, 2017
The omega (?) statistic is reputed to be one of the best indices for detecting answer copying on multiple choice tests, but its performance relies on the accurate estimation of copier ability, which is challenging because responses from the copiers may have been contaminated. We propose an algorithm that aims to identify and delete the suspected…
Descriptors: Cheating, Test Items, Mathematics, Statistics
Pfannkuch, Maxine; Budgett, Stephanie; Fewster, Rachel; Fitch, Marie; Pattenwise, Simeon; Wild, Chris; Ziedins, Ilze – Statistics Education Research Journal, 2016
Because new learning technologies are enabling students to build and explore probability models, we believe that there is a need to determine the big enduring ideas that underpin probabilistic thinking and modeling. By uncovering the elements of the thinking modes of expert users of probability models we aim to provide a base for the setting of…
Descriptors: Statistics, Probability, Teaching Methods, Foreign Countries
Voß, Lydia; Schatten, Carlotta; Mazziotti, Claudia; Schmidt-Thieme, Lars – International Educational Data Mining Society, 2015
Machine Learning methods for Performance Prediction in Intelligent Tutoring Systems (ITS) have proven their efficacy; specific methods, e.g. Matrix Factorization (MF), however suffer from the lack of available information about new tasks or new students. In this paper we show how this problem could be solved by applying Transfer Learning (TL),…
Descriptors: Transfer of Training, Intelligent Tutoring Systems, Statistics, Probability
Roscoe, Matt B. – Mathematics Teaching in the Middle School, 2016
Instead of reserving the study of probability and statistics for special fourth-year high school courses, the Common Core State Standards for Mathematics (CCSSM) takes a "statistics for all" approach. The standards recommend that students in grades 6-8 learn to summarize and describe data distributions, understand probability, draw…
Descriptors: Data Analysis, Probability, Statistics, Mathematics
Hurrell, Derek – Australian Primary Mathematics Classroom, 2014
In this article, Derek Hurrell, points out that while it's easy to fall into the impression that the proficiency strand "Fluency" is all about knowing basic number facts in all its many and splendid ways. He add it is easy to overlook, that within Fluency there are requirements that are based in Algebra; Measurement and Geometry; and…
Descriptors: Foreign Countries, Numbers, Mathematics, Algebra
Parashar, Deepak – European Journal of Science and Mathematics Education, 2014
This study is motivated by the desire to address some of the enormous challenges faced by the students as well as the lecturer in fulfilling their respective expectations and duties demanded by the process of learning--teaching of mathematics and statistics within the framework of the constraining schedules laid down by the academic institutions…
Descriptors: Mathematics, Mathematics Instruction, Mathematics Education, Teacher Effectiveness
Balasooriya, Uditha; Li, Jackie; Low, Chan Kee – Australian Senior Mathematics Journal, 2012
For any density function (or probability function), there always corresponds a "cumulative distribution function" (cdf). It is a well-known mathematical fact that the cdf is more general than the density function, in the sense that for a given distribution the former may exist without the existence of the latter. Nevertheless, while the…
Descriptors: Computation, Probability, Mathematics, Mathematics Curriculum
Coll-Serrano, Vicente; Blasco-Blasco, Olga; Alvarez-Jareno, Jose A. – Teaching Mathematics and Its Applications: An International Journal of the IMA, 2011
In this article, we show a dynamic graphic in Excel that is used to introduce an important concept in our subject, Statistics I: the probability density function. This interactive graphic seeks to facilitate conceptual understanding of the main aspects analysed by the learners.
Descriptors: Statistics, Probability, Mathematics, Mathematics Instruction
Smith, Toni M.; Hjalmarson, Margret A. – Mathematical Thinking and Learning: An International Journal, 2013
The purpose of this study is to examine prospective mathematics specialists' engagement in an instructional sequence designed to elicit and develop their understandings of random processes. The study was conducted with two different sections of a probability and statistics course for K-8 teachers. Thirty-two teachers participated. Video analyses…
Descriptors: Video Technology, Probability, Mathematics Instruction, Statistics