Understand Levels of Measurement in Statistics (NOIR): A Tidy Review

Finally understand levels of measurement: nominal, ordinal, interval, and ratio-level data (abbreviated NOIR). In statistics, numbers (a) help us create categories, or (b) help us measure something. Categorical variables can be either ordered categories (ordinal) or unordered categories (nominal). Categorical variables are also called qualitative variables. The measurement variables use scales with equal intervals on the scales. We distinguish these scales by whether they have a meaningful zero point (ratio) or not (interval). Both interval & ratio are “Scale data”, both are quantitative because they tell us how much of the variable is present and they are continuous.

[josefinamaqueda]

Are categorical, continuous, qualitative, and quantitative all different types of ordinal measurements (thats why they're both in purple)? or he says "levels of measurement assigned to variables in statistics" what does he mean by that?

[kiduaalute]

Thanks you very much it's real helpful