Nominal variables are categorical variables that represent different categories without any inherent order, such as gender, race, or favorite color. In contrast, ordinal variables also represent categories but have a clear, meaningful order, such as rankings (e.g., satisfaction levels like "satisfied," "neutral," "dissatisfied"). While nominal variables categorize data, ordinal variables allow for comparison based on their rankings.
Ordinal. Though more likely interval or even ratio scale.
They are nominal.
Nominal or category;Ordinal scale;Interval scale; andRatio scale.
No, it is nominal.
Hair color is considered a nominal variable because it represents categories without any inherent order or ranking. Each hair color, such as brown, blonde, or black, is distinct but does not have a meaningful sequence. In contrast, ordinal variables have a clear, ordered relationship among the categories.
Nominal and ordinal variables are both qualitative or discrete variables. Nominal variables allow for only qualitative classification while an ordinal variable is a nominal variable, but its different states are ordered in a meaningful sequence.
There are many ways of categorising variables. One classification, used in statistics, is Nominal, Ordinal and Interval.
Ordinal
nominal and ordinal is wrong; those are the two types of qualitative variables. Ratio and interval are the two types of quantitative variables.
Nominal.
nominal
It is ordinal.
Ordinal.
It is ordinal.
is environmental advertising nominal and ordinal scale
Ordinal. Though more likely interval or even ratio scale.
They are nominal.