I have a data set that includes the different response times of a user that is visiting a web application. For example, a visitor enters www.test.com in the browser and navigates through this domain watching child pages like www.test.com/news, www.test.com/overview, www.test.com/overview/current, etc. If a user watches a web site, it is called a user action.
Let's say a user has performed 5 user actions with the response times 200ms, 500ms, 350ms, 1200ms, 154ms. Now I want to find the outliers that express either fast page loads or slow page loads. Is that somehow possible?
EDIT: I want to detect outliers because I want to determine the user experience depending on the response time. Let's say I have three ux-states, namely happy, ok and unhappy. All user actions are ok except the outliers. They are either unhappy if the response time is too high or happy if the response time is very low.