Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Data Interpretation | 2 |
| Statistics Education | 2 |
| College Graduates | 1 |
| Data Analysis | 1 |
| Data Collection | 1 |
| Data Science | 1 |
| Engineering | 1 |
| Engineering Education | 1 |
| Error of Measurement | 1 |
| Foreign Countries | 1 |
| Investigations | 1 |
| More ▼ | |
Source
| Journal of Statistics and… | 2 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| Canada | 1 |
| Philippines | 1 |
| Turkey | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkZachary del Rosario – Journal of Statistics and Data Science Education, 2024
Variability is underemphasized in domains such as engineering. Statistics and data science education research offers a variety of frameworks for understanding variability, but new frameworks for domain applications are necessary. This study investigated the professional practices of working engineers to develop such a framework. The Neglected,…
Descriptors: Foreign Countries, Engineering Education, Engineering, Technical Occupations
Arnold, Pip; Franklin, Christine – Journal of Statistics and Data Science Education, 2021
The statistical problem-solving process is key to the statistics curriculum at the school level, post-secondary, and in statistical practice. The process has four main components: formulate questions, collect data, analyze data, and interpret results. The Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education (GAISE) emphasizes…
Descriptors: Statistics Education, Problem Solving, Data Collection, Data Analysis
