# statistical analysis with interval data

I have been assigned the task of helping someone who has collected some survey associated data related to some kind of government facilities provided to people. The data corresponding to small scale entrepreneurs across 3 cities who are the providing the services to the customers looks like this (sample data):

Years of experience of the entrepreneurs in City 1:
0-5 yrs: 15
5-10 yrs: 25
10-20 yrs: 30
>20 yrs: 3

Years of experience of the entrepreneurs in City 2:
0-5 yrs: 10
5-10 yrs: 27
10-20 yrs: 35
>20 yrs: 0

Years of experience of the entrepreneurs in City 3:
0-5 yrs: 5
5-10 yrs: 15
10-20 yrs: 25
>20 yrs: 5


I have to suggest some kind of statistical analysis, like representing the data in box-plot, or somehow showing the avgs using graphical representations. Currently, he uses simple column graphs for each of the cities.

• Some basic questions: Do you know how many people responded for each city? What is the data going to be used for?
– user31668
Commented Aug 22, 2014 at 19:03
• Yea ..I know the total number of people from each city who participated in the survey. The government basically wants to know the background of these small scale entrepreneurs, their age groups, income, years of exp and correlate it with the level of satisfaction they are having with their small scale business. The problem is that the data has intervals instead of absolute values for each of the categories I mentioned Commented Aug 22, 2014 at 19:21
• Thanks! Does the government care about location-specific effects, or just individual characteristics?
– user31668
Commented Aug 22, 2014 at 19:30
• Maybe not so much on the locations..as the cities were selected randomly. Any ideas coming to your mind ? Commented Aug 22, 2014 at 19:49