Suppose I have gathered the time a certain user takes to input a four digit PIN from his previous logins as follows :
User A : (10,12,11,13,19.1,12.4,12,16)
User A wants to login again to perform a transaction. This time he took
11.03 to input the four digit PIN. As of now, I found Extreme Studentized Deviate that it can be used to detect outliers for univariate data, but am not sure of its performance.
Which method or approach can I use to detect whether
11.03is an outlier?
What others have done?
Can I use LOF? If so how? A little light will do. Thanks.
PS: Units of time in this case are not important, they are just random values for demonstrating the concept.