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Kula, Fulya; Koçer, Rüya Gökhan – Teaching Mathematics and Its Applications, 2020
Difficulties in learning (and thus teaching) statistical inference are well reported in the literature. We argue the problem emanates not only from the way in which statistical inference is taught but also from what exactly is taught as statistical inference. What makes statistical inference difficult to understand is that it contains two logics…
Descriptors: Statistical Inference, Teaching Methods, Difficulty Level, Comprehension
Reaburn, Robyn – Mathematics Education Research Group of Australasia, 2019
Random sampling and random allocation are essential processes in the practice of inferential statistics. These processes ensure that all members of a population are equally likely to be selected, and that all possible allocations in an experiment are equally likely. It is these characteristics that allow the validity of the subsequent calculations…
Descriptors: Statistics, Comprehension, Introductory Courses, College Students
McClelland, James L.; Mirman, Daniel; Bolger, Donald J.; Khaitan, Pranav – Cognitive Science, 2014
In a seminal 1977 article, Rumelhart argued that perception required the simultaneous use of multiple sources of information, allowing perceivers to optimally interpret sensory information at many levels of representation in real time as information arrives. Building on Rumelhart's arguments, we present the Interactive Activation…
Descriptors: Perception, Comprehension, Cognitive Processes, Alphabets
Liu, Yan; Thompson, Patrick – Cognition and Instruction, 2007
Probability is an important idea with a remarkably wide range of applications. However, psychological and instructional studies conducted in the last two decades have consistently documented poor understanding of probability among different populations across different settings. The purpose of this study is to develop a theoretical framework for…
Descriptors: Statistics, Probability, Comprehension, Secondary School Teachers
Watson, Jane M.; Callingham, Rosemary A.; Kelly, Ben A. – Mathematical Thinking and Learning: An International Journal, 2007
This study presents the results of a partial credit Rasch analysis of in-depth interview data exploring statistical understanding of 73 school students in 6 contextual settings. The use of Rasch analysis allowed the exploration of a single underlying variable across contexts, which included probability sampling, representation of temperature…
Descriptors: Statistics, Comprehension, Concept Formation, Probability
Lavigne, Nancy C.; Glaser, Robert – 2001
A student's understanding of a problem before he or she solves it is a critical component of successful problem solving. This understanding is based on how a problem is represented; that is, whether a problem is understood in terms of principles or solution methods or whether the focus is on features that are irrelevant to its solution. In this…
Descriptors: Comprehension, High School Students, High Schools, Instructional Design
Thompson, Bruce – 2000
Web-based statistical instruction, like all statistical instruction, ought to focus on teaching the essence of the research endeavor: the exercise of reflective judgment. Using the framework of the recent report of the American Psychological Association (APA) Task Force on Statistical Inference (Wilkinson and the APA Task Force on Statistical…
Descriptors: College Students, Comprehension, Computer Assisted Instruction, Evaluation Methods