How to tell the difference between Categorical and Quantitative Variables and their subgroups?

How to tell the difference between Categorical, (Qualitative), and Quantitative, (Numerical), Variable?

Chapter
0:00 Introduction.
0:08 Examples of Categorical and Quantitative variables.
2:40 Rating (1 to 5 stars) as both Categorical and Quantitative variables.
5:44 Categorical (Qualitative) variables subgroups: ordinal, nominal, or binary.
8:00 Quantitative (Numerical) variables subgroups: discrete or continuous.
11:09 outro :)


Notes on Statistics topics and definitions:

Categorical (Qualitative) variables represent groupings of some kind. They are sometimes recorded as numbers, but the numbers represent categories rather than actual amounts of things.

Categorical variables are one of three types: ordinal, nominal, or binary.
Ordinal: Order by rank
Nominal: naming
Binary: two out comes, yes or no.

An ordinal variable can also be used as a quantitative variable if the scale is numerical and doesn’t need to be kept as discrete integers. For examples, star ratings on a review are ordinal (1 to 5 stars), but the average, or arithmetic mean, star rating is quantitative.

Quantitative (Numerical) variables are data that record the real number of amounts where we can perform mathematical operations, adding, subtracting, dividing, etc…

Quantitative variables are one of two types: discrete or continuous.

Discrete: Counts of individual, whole numbers and integers.

Continuous: non-finite values, ratio, fractions, decimals, or range and intervals.