| Title: |
A Survey on How College Students in a Statistical Literacy Course Apply Statistics Terms to People |
| Language: |
English |
| Authors: |
Lawrence M. Lesser (ORCID 0000-0001-5762-3987); Martin Santos (ORCID 0000-0002-4698-4231) |
| Source: |
Journal of Statistics and Data Science Education. 2024 32(1):83-97. |
| Availability: |
Taylor & Francis. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
| Peer Reviewed: |
Y |
| Page Count: |
15 |
| Publication Date: |
2024 |
| Document Type: |
Journal Articles; Reports - Research; Tests/Questionnaires |
| Education Level: |
Higher Education; Postsecondary Education |
| Descriptors: |
Student Attitudes; Statistics Education; Hispanic American Students; Minority Serving Institutions; Undergraduate Students; Phrase Structure; Ambiguity (Semantics); Language Usage; Standard Spoken Usage; Diversity; Personal Autonomy; Identification; Teaching Methods; Online Courses |
| DOI: |
10.1080/26939169.2023.2193307 |
| ISSN: |
2693-9169 |
| Abstract: |
An anonymous survey was given to n = 73 students in an asynchronous online statistical literacy course at a mid-sized Hispanic Serving Institution. Informed by teaching experience, literature on lexical ambiguity, and everyday usage of statistics words and phrases, the first author designed the survey to yield insight into how students view phrases such as "average person," "random person," and "outlier person," and to explore possible connections or patterns with such phrases. Findings suggest that students view phrases such as "random person" in a way much further from standard usage than they do phrases such as "anonymous person." Considerations such as diversity, agency, and variable identification are identified as possibly affecting usage and meriting further investigation. Recommendations for teaching and future research are provided. Supplementary materials for this article are available online. |
| Abstractor: |
As Provided |
| Entry Date: |
2024 |
| Accession Number: |
EJ1406801 |
| Database: |
ERIC |