Nominal Ordinal Interval Ratio

1. Decision Science (Statistics)
Types of Numeric Data
Shashank Mishra

4. Nominal scale data
 Represents the categories such as Male/Females
, Married /Unmarried,
The number only represents the categories
 If male = 1, Female =2 can you say 1 < 2, 1+ 2 = 3
, 2-1=1
 So no mathematical operator is applicable for
this data
 Chi Square is most popular statistical method
used on nominal data
 Demographic variables are mainly measures on
nominal scale.

5. Ordinal Scale data
 Also known as ranking scale
 Preferences of consumers can be measured
using ordinal variables
<, = , > operators can be used for ordinal
variables
 Has order but the intervals between scales
points may be uneven
 Because of lack of equal distances, arithmetic
operators are impossible, but logical
operations can be performed on ordinal data
 Example, the first division is better than
second division, Upper class is more rich than
middle class etc

6. Interval Scale
Also known as rating scale
Use to measure the attitude or the perception
Zero point on the interval scale is arbitrary zero,
it is not the true zero point
Designates equal interval ordering
Example: My office boss always motivates me
Strongly Disagree Neither Agree Strongly
disagree agree nor (4) agree
(1) (2) disagree (5)
(3)
The number on this scale can be added, subtracted, multiply.
One can estimate mean, standard deviation, correlation
coefficient , t test, Regression, Factor analysis etc.

7. •Ratio Scale
 Same distance between two observations
 Scale has true and meaningful zero point
Ratio of two observations is meaningful
Highest and most informative scale

8. THANKYO
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