Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 2 |
Descriptor
| Monte Carlo Methods | 2 |
| Computer Oriented Programs | 1 |
| Electronic Learning | 1 |
| Foreign Countries | 1 |
| Graphs | 1 |
| High School Students | 1 |
| High Schools | 1 |
| Higher Education | 1 |
| Interaction | 1 |
| Introductory Courses | 1 |
| Learning Modules | 1 |
| More ▼ | |
Author
| Erfan, Sasan | 1 |
| Kahle, David | 1 |
| Lin, Tony | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Descriptive | 2 |
Education Level
| High Schools | 2 |
| Secondary Education | 2 |
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| China | 1 |
| India | 1 |
| Texas | 1 |
| United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Direct linkLin, Tony; Erfan, Sasan – New England Journal of Higher Education, 2016
Mathematical modeling is an open-ended research subject where no definite answers exist for any problem. Math modeling enables thinking outside the box to connect different fields of studies together including statistics, algebra, calculus, matrices, programming and scientific writing. As an integral part of society, it is the foundation for many…
Descriptors: Mathematical Models, Mathematics, High School Students, Secondary School Mathematics
Peer reviewedKahle, David – Journal of Statistics Education, 2014
In this article, I introduce a novel applet ("module") for exploring probability distributions, their samples, and various related statistical concepts. The module is primarily designed to be used by the instructor in the introductory course, but it can be used far beyond it as well. It is a free, cross-platform, stand-alone interactive…
Descriptors: Monte Carlo Methods, Learning Modules, Probability, Statistical Distributions
