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.
Nominal or category;Ordinal scale;Interval scale; andRatio scale.
They are nominal.
No, it is nominal.
Favorite color is a nominal variable because it represents categories without any inherent order or ranking. Each color is distinct and does not imply a greater or lesser value compared to others. In contrast, ordinal variables have a clear, ordered relationship among their 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.
nominal and ordinal is wrong; those are the two types of qualitative variables. Ratio and interval are the two types of quantitative variables.
Ordinal
Nominal.
nominal
is environmental advertising nominal and ordinal scale
It is ordinal.
Ordinal.
It is ordinal.
Ordinal. Though more likely interval or even ratio scale.
Three, they are: Constant,dependant, & controlled. Alternatively, you can say there are 4: nominal, ordinal, interval, and ratio.