Thank you for reading my question.
I used the clustering method to classify the age of the houses. This graph show the clustered results.
I should to get the age range, mean age, and median age for each age phase. I calculated them: age range=(maximum age of each phase)~(minimum age of each phase), mean age=sum of ages of each phase/the number of specimens in each phase, median age=find the value in the middle.
However, I unsure it is the right way to get them because there are outlier values. For example, in phase 4, one specimen had 39 yrs. Due to the outlier, the range of the phase 4 was 39-49 yrs.
I wonder whether I trimed the values to remove the outlier before calcaulting the age range, mean age, median age or used the orginal dataset including outlier mentioned above.
Thank you for sharing your advice.