Interval data - measured in fixed units with equal distance between the points on the scale eg time in seconds.
The most appropriate measure of average for interval data is the mean.
Interval is the highest level of data.
Ordinal data - data that is presented in ranked order eg places in a beauty contest but the values themselves have no meaning eg the person who comes first is not twice as beautiful as the person who comes 5th out of 10 competitors.
Ordinal data may be subjective.
Ordinal is the mid-level of data.
The most appropriate measure of ordinal data is the median.
Nominal data - data that can be grouped into categories eg favourite lessons with no logical order to them.
The most appropriate measure of average for nominal data is the mode.