Descriptor
| Data Analysis | 1 |
| Engineering | 1 |
| Least Squares Statistics | 1 |
| Mathematical Concepts | 1 |
| Science Teachers | 1 |
| Sciences | 1 |
| Spreadsheets | 1 |
| Students | 1 |
Source
| International Journal of… | 1 |
Author
| Glaister, P. | 1 |
Publication Type
| Journal Articles | 1 |
| Numerical/Quantitative Data | 1 |
| Reports - Descriptive | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkGlaister, P. – International Journal of Mathematical Education in Science and Technology, 2005
Three techniques for determining a straight line fit to data are compared. The methods are applied to a range of datasets containing one or more outliers, and to a specific example from the field of chemistry. For the method which is the most resistant to the presence of outliers, a Microsoft Excel spreadsheet, as well as two Matlab routines, are…
Descriptors: Mathematical Concepts, Engineering, Sciences, Science Teachers
