Nominal scale simply places some data into categories. They neither have any structure nor any order. The most likely statistic that is used with nominal scale is mode.
Ordinal Scale deals with ranking of a variable but their differences from each other cannot be measured. The most used statistic with an ordinal scale is median.
Interval scale which is also a standard survey scale is a type of measurement scale where the scale elements are equidistant from each other which gives a researcher to measure the difference between the values of the scale elements. Thus with a interval scale we can not only order the elements but also we can know the difference in degree of order e.g. Likert Scale.
Ratio Scale is a scale which has a true zero and not an arbitrary zero. By arbitrary zero we mean as it appears in case of temperature because at zero temperature we cannot say “no temperature”. The best example of a ratio scale measurement is money because there we have a true zero value because zero money means no money hence we can say a person who has $1000 possesses exactly twice as who has $500.