Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 27 |
Since 2006 (last 20 years) | 87 |
Descriptor
Probability | 108 |
Simulation | 79 |
Mathematics Instruction | 37 |
Computer Simulation | 31 |
Statistics | 31 |
Computation | 29 |
Teaching Methods | 24 |
Mathematical Concepts | 22 |
Problem Solving | 17 |
College Mathematics | 16 |
Models | 15 |
More ▼ |
Source
Author
Abrahamson, Dor | 2 |
English, Lyn | 2 |
Gordon, Florence S. | 2 |
Gordon, Sheldon P. | 2 |
Johnson, Roger W. | 2 |
Watson, Jane | 2 |
Akers, Joan | 1 |
Alber, Mark | 1 |
Amemiya, Yasuo | 1 |
Barr, Graham D. I. | 1 |
Barr, James | 1 |
More ▼ |
Publication Type
Reports - Descriptive | 108 |
Journal Articles | 106 |
Opinion Papers | 3 |
Guides - Classroom - Teacher | 2 |
Speeches/Meeting Papers | 2 |
Computer Programs | 1 |
Tests/Questionnaires | 1 |
Education Level
Audience
Teachers | 19 |
Practitioners | 7 |
Researchers | 2 |
Location
Australia | 5 |
United Kingdom | 2 |
Austria | 1 |
California | 1 |
Hungary (Budapest) | 1 |
Illinois | 1 |
Mississippi | 1 |
Montana | 1 |
New York | 1 |
Wyoming | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Program for International… | 1 |
What Works Clearinghouse Rating
Tim Erickson – Australian Mathematics Education Journal, 2024
This is the third in a series of articles describing CODAP and where it might be used to address content in the "Australian Curriculum: Mathematics" v9.0 (ACARA, 2022). We've talked before about model-ling and about statistics; this time, we'll talk about exploring probability using CODAP. As before, we have also prepared online pages…
Descriptors: Statistics Education, Data Analysis, Mathematical Concepts, Mathematics Curriculum
Johnson, Roger W. – Teaching Statistics: An International Journal for Teachers, 2019
The "Borel" board game consists of a series of experiments involving dice rolls, coin flips, or drawing colored balls from bags. Before each experiment is conducted, each player bets for or bets against a statement regarding the random outcome. We suggest that the collection of "Borel" experiments be used as a resource to…
Descriptors: Games, Teaching Methods, Statistics, Probability
Meyer, Joerg – Teaching Statistics: An International Journal for Teachers, 2019
A formula is derived for a 'two-dice horse race', in which two ordinary dice are thrown repeatedly and each time the sum of the scores determines which horse (numbered 2 to 12) moves forward one space. This paper answers a question posed in a former "Teaching Statistics" article, and demonstrates the value of simulation.
Descriptors: Statistics, Probability, Mathematical Formulas, Educational Games
Jones, Ryan Seth; Jia, Zhigang; Bezaire, Joel – Mathematics Teacher: Learning and Teaching PK-12, 2020
Too often, statistical inference and probability are treated in schools like they are unrelated. In this paper, we describe how we supported students to learn about the role of probability in making inferences with variable data by building models of real world events and using them to simulate repeated samples.
Descriptors: Statistical Inference, Probability, Mathematics Instruction, Mathematical Models
Lyford, Alex; Czekanski, Michael – Teaching Statistics: An International Journal for Teachers, 2020
Students are typically introduced to probability through calculating simple events like flipping a coin. While these calculations can be done by hand, more complex probabilistic events, both in class and in the real world, require the use of computers. In this paper, we introduce a new tool--an R shiny web app and associated CRAN package based on…
Descriptors: Probability, Games, Simulation, Mathematics Instruction
Gazdula, Joe; Farr, Richard – Management Teaching Review, 2020
This article describes the adaptation and use of the Monopoly® board game as a simple simulator to help introduce the principles of probability and risk. It focusses on teaching experiences in an undergraduate business program and offers a new approach to teaching probability and risk with dice to produce a collaborative simulated gaming…
Descriptors: Risk, Probability, Learning Activities, Undergraduate Students
Kwon, Yeil; Sahin, Nesrin – International Society for Technology, Education, and Science, 2021
Probability is generally considered one of the most challenging areas to teach in mathematics education due to its intricate nature. However, the simulation-based teaching method can increase students' accessibility significantly to the probability problems because it enables students to resolve the problems with minimal mathematical skills. By…
Descriptors: Probability, Mathematics Instruction, Difficulty Level, Teaching Methods
Kohnle, Antje; Jackson, Alexander; Paetkau, Mark – Physics Teacher, 2019
Learning introductory quantum physics is challenging, in part due to the different paradigms in classical mechanics and quantum physics. Classical mechanics is deterministic in that the equations of motion and the initial conditions fully determine a particle's trajectory. Quantum physics is an inherently probabilistic theory in that only…
Descriptors: Probability, Quantum Mechanics, Physics, Computer Simulation
Martins, Rui Manuel da Costa – Teaching Statistics: An International Journal for Teachers, 2018
Using the famous Birthday problem, we present here a practical activity that allows students to perceive the basic reasoning behind simulation and explore its potential. Through a playful approach with probabilities, students are led along a path that illustrates difficulties with intuition and introduces them to theoretical results for sample…
Descriptors: Learning Activities, Probability, Intuition, Statistics
Molontay, Roland; Horvath, Noemi; Bergmann, Julia; Szekrenyes, Dora; Szabo, Mihaly – IEEE Transactions on Learning Technologies, 2020
Curriculum prerequisite networks have a central role in shaping the course of university programs. The analysis of prerequisite networks has attracted a lot of research interest recently since designing an appropriate network is of great importance both academically and economically. It determines the learning goals of the program and also has a…
Descriptors: College Curriculum, Prerequisites, Networks, Time to Degree
Hemer, David – Australian Mathematics Education Journal, 2020
This paper describes an investigation looking at the underlying mathematics of poker machines. The aim of the investigation is for students to get an appreciation of how poker machines are designed to ensure that in the long-term players will inevitably lose when playing. The first part of this paper describes how students can model a simple poker…
Descriptors: Equipment, Probability, Games, Mathematics Instruction
Gorard, Stephen – International Journal of Social Research Methodology, 2019
This paper compares the use of confidence intervals (CIs) and a sensitivity analysis called the number needed to disturb (NNTD), in the analysis of research findings expressed as 'effect' sizes. Using 1,000 simulations of randomised trials with up to 1,000 cases in each, the paper shows that both approaches are very similar in outcomes, and each…
Descriptors: Intervals, Statistics, Social Sciences, Foreign Countries
Hildreth, Laura A.; Green, Jennifer L. – Teaching Statistics: An International Journal for Teachers, 2016
We present a variant of the Game of Pig to introduce the concepts of probability, simulation and expected value.
Descriptors: Statistics, Probability, Simulation, Expectation
Jacobs, Perke; Viechtbauer, Wolfgang – Research Synthesis Methods, 2017
Meta-analyses are often used to synthesize the findings of studies examining the correlational relationship between two continuous variables. When only dichotomous measurements are available for one of the two variables, the biserial correlation coefficient can be used to estimate the product-moment correlation between the two underlying…
Descriptors: Sampling, Correlation, Meta Analysis, Measurement
De Nóbrega, José Renato – Teaching Statistics: An International Journal for Teachers, 2017
A strategy to facilitate understanding of spatial randomness is described, using student activities developed in sequence: looking at spatial patterns, simulating approximate spatial randomness using a grid of equally-likely squares, using binomial probabilities for approximations and predictions and then comparing with given Poisson…
Descriptors: Statistical Analysis, Sequential Approach, Pattern Recognition, Simulation