Data scales
Data scale is a object which is used to measures data
four data measurement scales:
nominal,
ordinal,
interval and
ratio
The distinction between the four types of scales center on three different characteristics:
1. The order of responses – whether it matters or not
2. The distance between observations – whether it matters or is interpretable 3. The presence or inclusion of a true zero
Nominal Scales
Nominal scales measure categories and have the following characteristics:
? Order: The order of the responses or observations does not matter.
? Distance: Nominal scales do not hold distance.
The distance between a 1 and a 2 is not the same as a 2 and 3.
? True Zero: There is no true or real zero. In a nominal scale, zero is uninterruptable. Appropriate statistics for nominal scales: mode, count, frequencies Displays: histograms or bar charts
Fascinating insights on data measurement scales—understanding these is crucial for effective data analysis and interpretation.