Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Bayesian Statistics | 2 |
Foreign Countries | 2 |
Mathematics Instruction | 2 |
Probability | 2 |
Teaching Methods | 2 |
Classification | 1 |
Clinics | 1 |
College Mathematics | 1 |
Diagnostic Tests | 1 |
Learning Motivation | 1 |
Learning Theories | 1 |
More ▼ |
Source
Australian Mathematics… | 1 |
PRIMUS | 1 |
Publication Type
Journal Articles | 2 |
Reports - Descriptive | 2 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Secondary Education | 1 |
Audience
Location
Australia | 2 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Ava Greenwood; Sara Davies; Timothy J. McIntyre – Australian Mathematics Education Journal, 2023
This article is motivated by the importance of developing statistically literate students. The authors present a selection of problems that could be used to motivate student interest in probability as well as providing additional depth to the curriculum when used alongside traditional resources. The solutions presented utilise natural frequencies…
Descriptors: Probability, Mathematics Instruction, Teaching Methods, Statistics Education
Stewart, Wayne; Stewart, Sepideh – PRIMUS, 2014
For many scientists, researchers and students Markov chain Monte Carlo (MCMC) simulation is an important and necessary tool to perform Bayesian analyses. The simulation is often presented as a mathematical algorithm and then translated into an appropriate computer program. However, this can result in overlooking the fundamental and deeper…
Descriptors: Markov Processes, Monte Carlo Methods, College Mathematics, Mathematics Instruction