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Showing 1 to 15 of 20 results Save | Export
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Podworny, Susanne; Biehler, Rolf – Mathematical Thinking and Learning: An International Journal, 2022
Inferential reasoning is an integral part of science and civic society, but research shows that it is a problematic domain for many people. One possibility for a more accessible approach to inferential reasoning is to use randomization tests via computer simulations. A case study was conducted with primary preservice teachers after they had passed…
Descriptors: Statistics Education, Statistical Inference, Simulation, Preservice Teacher Education
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Bay Arinze – Journal of Statistics and Data Science Education, 2023
Data Analytics has grown dramatically in importance and in the level of business deployments in recent years. It is used across most functional areas and applications, some of the latter including market campaigns, detecting fraud, determining credit, identifying assembly line defects, health services and many others. Indeed, the realm of…
Descriptors: Data Analysis, Elections, Simulation, Statistics Education
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Noll, Jennifer; Kirin, Dana; Clement, Kit; Dolor, Jason – Mathematical Thinking and Learning: An International Journal, 2023
Using simulation approaches when conducting randomization tests for comparing two groups in the context of experimental studies has been promoted as a beneficial approach for supporting student learning of statistical inference. Many researchers have suggested that the data production process in simulations for the randomization test intuitively…
Descriptors: Mathematics Instruction, Thinking Skills, Comparative Analysis, Learning Processes
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Case, Catherine; Battles, Melanie; Jacobbe, Tim – Investigations in Mathematics Learning, 2019
The study presented in this article examined the impact of two simulation-based inference activities on students' understanding of p-values in a second undergraduate statistics course. In the study, students familiar with traditional inference methods used physical and computer simulations to estimate p-values. To examine students' conceptions…
Descriptors: Probability, Computer Simulation, Statistics, Mathematics Instruction
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Hancock, Stacey A.; Rummerfield, Wendy – Journal of Statistics Education, 2020
Sampling distributions are fundamental to an understanding of statistical inference, yet research shows that students in introductory statistics courses tend to have multiple misconceptions of this important concept. A common instructional method used to address these misconceptions is computer simulation, often preceded by hands-on simulation…
Descriptors: Teaching Methods, Sampling, Experiential Learning, Computer Simulation
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Taber, Keith S. – Chemistry Education Research and Practice, 2020
This comment discusses some issues about the use and reporting of experimental studies in education, illustrated by a recently published study that claimed (i) that an educational innovation was effective despite outcomes not reaching statistical significance, and (ii) that this refuted the findings of an earlier study. The two key issues raised…
Descriptors: Chemistry, Educational Innovation, Statistical Significance, Statistical Inference
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Chance, Beth; Tintle, Nathan; Reynolds, Shea; Patel, Ajay; Chan, Katherine; Leader, Sean – Statistics Education Research Journal, 2022
Using simulation-based inference (SBI), such as randomization tests, as the primary vehicle for introducing students to the logic and scope of statistical inference has been advocated with the potential of improving student understanding of statistical inference and the statistical investigative process. Moving beyond the individual class…
Descriptors: Mathematics Curriculum, Simulation, Student Characteristics, Prior Learning
Sales, Adam C.; Hansen, Ben B. – Journal of Educational and Behavioral Statistics, 2020
Conventionally, regression discontinuity analysis contrasts a univariate regression's limits as its independent variable, "R," approaches a cut point, "c," from either side. Alternative methods target the average treatment effect in a small region around "c," at the cost of an assumption that treatment assignment,…
Descriptors: Regression (Statistics), Computation, Statistical Inference, Robustness (Statistics)
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Ziegler, Laura; Garfield, Joan – Statistics Education Research Journal, 2018
The purpose of this study was to develop the Basic Literacy In Statistics (BLIS) assessment for students in an introductory statistics course, at the postsecondary level, that includes, to some extent, simulation-based methods. The definition of statistical literacy used in the development of the assessment was the ability to read, understand, and…
Descriptors: Statistics, Literacy, Introductory Courses, College Students
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Zhang, Xuemao; Maas, Zoe – International Electronic Journal of Mathematics Education, 2019
The use of computer simulations in the teaching of introductory statistics can help undergraduate students understand difficult or abstract statistics concepts. The free software environment R is a good candidate for computer simulations since it allows users to add additional functionality by defining new functions. In this paper, we illustrate…
Descriptors: Computer Simulation, Teaching Methods, Mathematics Instruction, Probability
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Chance, Beth; Wong, Jimmy; Tintle, Nathan – Journal of Statistics Education, 2016
"Simulation-based inference" (e.g., bootstrapping and randomization tests) has been advocated recently with the goal of improving student understanding of statistical inference, as well as the statistical investigative process as a whole. Preliminary assessment data have been largely positive. This article describes the analysis of the…
Descriptors: Statistical Inference, Simulation, College Mathematics, Statistics
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Case, Catherine; Whitaker, Douglas – Mathematics Teacher, 2016
In the criminal justice system, defendants accused of a crime are presumed innocent until proven guilty. Statistical inference in any context is built on an analogous principle: The null hypothesis--often a hypothesis of "no difference" or "no effect"--is presumed true unless there is sufficient evidence against it. In this…
Descriptors: Mathematics Instruction, Technology Uses in Education, Educational Technology, Statistical Inference
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Amin, Bunga Dara; Mahmud, Alimuddin; Muris – Journal of Education and Practice, 2016
This research aims to produce a learning instrument based on hypermedia which is valid, interesting, practical, and effective as well as to know its influence on the problem based skill of students Mathematical and Science Faculty, Makassar State University. This research is a research and development at (R&D) type. The development procedure…
Descriptors: Test Construction, Science Tests, Physics, Hypermedia
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Buchanan, Taylor L.; Lohse, Keith R. – Measurement in Physical Education and Exercise Science, 2016
We surveyed researchers in the health and exercise sciences to explore different areas and magnitudes of bias in researchers' decision making. Participants were presented with scenarios (testing a central hypothesis with p = 0.06 or p = 0.04) in a random order and surveyed about what they would do in each scenario. Participants showed significant…
Descriptors: Researchers, Attitudes, Statistical Significance, Bias
Conant, Darcy Lynn – ProQuest LLC, 2013
Stochastic understanding of probability distribution undergirds development of conceptual connections between probability and statistics and supports development of a principled understanding of statistical inference. This study investigated the impact of an instructional course intervention designed to support development of stochastic…
Descriptors: Statistics, Probability, Statistical Distributions, Statistical Inference
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