Abstract
Statistical graphs are images that display quantitative information in a visual format that allows for the easy and consistent interpretation of the information. Often, statistical graphs are in the form of line graphs or bar graphs. In fields, such as cybersecurity, sets of statistical graphs are used to present complex information; however, the interpretation of these more complex graphs is often not obvious. Unless the viewer has been trained to understand each graph used, the interpretation of the data may be limited or incomplete [1]. In order to study the perception of statistical graphs, we tracked users’ eyes while studying simple statistical graphs. Participants studied a graph, and later viewed a graph purporting to be a subset of the data. They were asked to look for a substantive change in the meaning of the second graph compared to the first.
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