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Crispim, Carolina Martins; Mizuno, Gabriel Perez; Pizzinga, Adrian – International Journal of Mathematical Education in Science and Technology, 2021
Take a family of independent events. If some of these events, or all of them, are replaced by their complements, then independence still holds. This fact, which is agreed upon by the members of the statistical/probability communities, is tremendously well known, is fairly intuitive and has always been frequently used for easing probability…
Descriptors: Probability, Statistics, Validity, Mathematical Logic
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Ozmen, Zeynep Medine; Guven, Bulent – International Journal of Mathematical Education in Science and Technology, 2019
Introductory statistics courses, which are important in preparing students for their daily lives, generally derive inferential statistics from informal knowledge. In this transition process, sampling distributions have an important place, yet research has shown that students often have difficulties with this concept. In order to increase their…
Descriptors: Student Attitudes, Sampling, Undergraduate Students, Correlation
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Weinberg, Aaron; Thomas, Matthew – International Journal of Mathematical Education in Science and Technology, 2018
While 'flipped' classrooms have been heralded as a valuable tool for student learning, little is known about the process by which students learn from the out-of-class resources. This study investigates 12 undergraduate students' sense-making activities while watching videos about topics in introductory statistics. Analysis of interview data…
Descriptors: Academic Achievement, Comprehension, Video Technology, Lecture Method
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Pfannkuch, Maxine; Regan, Matt; Wild, Chris; Budgett, Stephanie; Forbes, Sharleen; Harraway, John; Parsonage, Ross – International Journal of Mathematical Education in Science and Technology, 2011
This article sets out some of the rationale and arguments for making major changes to the teaching and learning of statistical inference in introductory courses at our universities by changing from a norm-based, mathematical approach to more conceptually accessible computer-based approaches. The core problem of the inferential argument with its…
Descriptors: Introductory Courses, Statistical Inference, Probability, Inferences