Faculty Advisor

Harrison, Lane T.

Faculty Advisor

Skorinko, Jeanine LM

Abstract

Despite ample research analyzing how people recognize differences in data, one aspect that has largely gone unmeasured is how outliers affects these comparisons. This paper aims to provide a better understanding how people recognize differences in data by having participants decide which correlation is stronger (forced choice) when comparing scatterplots at different correlations with outliers. With 67 participants, we calculated a just noticeable difference (JND) at different correlation values. The results indicate that at all levels of correlation (e.g., .4 or .8) tested, people were less able to detect the stronger correlation for the scatterplots with outliers compared to scatterplots without outliers.

Publisher

Worcester Polytechnic Institute

Date Accepted

April 2018

Major

Interdisciplinary

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Computer Science

Advisor Department

Social Science and Policy Studies

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