Scientific Program > Topic 11 >
Poster 11-10. Teaching Outliers in Statistical Data

Presenter
Fernando Rosado (Portugal) fernando.rosado@fc.ul.pt

 

Poster Abstract
The study of outliers in statistical data is developed on basics matters and detailed methodological aspects. Also, the exploratory data analysis is very important including graphics and box-plots outputs.
In this paper, we focuses on the following particular topics for detecting outliers in statistical data:

I- Graphics aspects, including box-plots outputs and the subjectivity of this analysis.

II- Statistical computing and the level of provision of outlier detection within statistical packages as a central tool in the modern statistical analysis.

III- The implication of automatic and repeated statistical analysis for the study of outliers in a sample.

IV- Data analyses with some illustrations from the wide range of practical fields where we can provide useful reinforcement of outlier methodology.

Keywords: Outlier; Discordancy Tests; Normal Populations.

 

 

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