# Interval Scale And Ordinal Scale: Scales Of Measurement In Statistics

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An interval scale includes characteristic of an ordinal scale and nominal scale that is, category of individuals or responses belonging to sub categories have a common characteristic; sub categories are arranged in descending or ascending order, in addition, an interval scale places the individual or responses at equally spaced interval in relation to the spread of variables.

• The interval scale of measurement has the properties of identity, magnitude and an equal interval (Scales of Measurement in Statistics, n.d.)
• In interval scale of measurement the distances or interval between the categories are to be compared.
• Interval scale keeps the ranking order just as ordinal scale.
• The interval scales also shows the differences between
Moreover it has a starting point fixed at zero. Therefore it is an absolute scale. The difference between different points or values, is always measured from a zero point. It reflects that the ratio scale can be used for mathematical operations.
• Ratio scale of measurement is almost same as interval scale.
• Ratio scale also includes a non arbitrary zero value in it to measure the variable.
• The ratio scale is the most precise and powerful of all the scales of measurement.
• It has the most meaningful zero point including all the properties of interval scale.
• One cannot have any negative value on this scale.
• The weight on an object can be an example of a ratio scale; each value has a unique meaning, weight can be ranked and ordered, units on the weight scale are equal to one another furthermore, the scale has a minimum value of zero because objects otherwise can be weightless but they cannot have negative weight.
• Hence, this scale satisfies all four properties of measurement scales, and these are:
Identity, magnitude, equal interval and a minimum value of zero.

EXAMPLE
(1) The person who is thirty years of age is twice as old as fifteen years