2. The scale determines amount of
information contained in data.
The scale indicates the data
summarization and statistical analysis that
are most appropriate.

3. •Nominal
•Interval
•Ordinal
•Ratio

4. No numerical difference between
categories.
examples:
-marital status
-gender
-state of residence
-zip code
-student id

5.  Ste of categories that are ordered from least to most.
 Don’t know numerical distance from each category to
next.
Example:
-miss India result
(first runner up , second
runner up)
-military rank
-letter grade in school
-degree hold

6.  Scale with value and there is same numerical
distance between each value.
 The data have properties of Ordinal data and
the interval between observation is expressed
in terms of a fixed unit of measure.
 They are always numeric.
 We can subtract and add but cant multiply
and divide.
 Example
 Temperatures
 Speedo meter

7.  When it comes to measurement scale Ratio
scale tells us about the order.
 They tell us exact value between units and
they also have an absolute zero – which
allows for a wide range of both descriptive
and inferential statistic to be applied.
 These variable can be meaningfully added,
subtract, multiplied, divided.
Example:-
height of students
weight of students

8. Provides Nominal
scale
Ordinal
scale
Interval
scale
Ratio scale
The “order”
of values is
known
√ √ √
“frequency
of
distribution”
√ √ √ √
Mode √ √ √
Median √ √ √
Mean √ √

9. Can quantify
the
difference
between
each value
√ √
Can add or
subtract
values
√ √
Can multiple
and divide
values
√
Has true zero √
Provides Nominal
scale
Ordinal
scale
Interval
scale
Ratio scale

10. Scale Order
(<,>)
Distance
(-)
True zero
(+,X,÷)
Examples
Nominal No No No Color
Gender
Country
Ordinal Yes No No Rank orders
Rating scale
Interval Yes Yes No Year
Time of the
day
IQ
Ratio yes Yes Yes Age
Height
Weight
rates