Classify the data as qualitative or quantitative. If qualitative then classify it as ordinal or categorical, and if quantitative then classify it as discrete or continuous. Variable Height (in inches) Grade (ABCDF) Weight (exact) Color Data Type a Quantitative Continuous b Quantitative Discrete c Qualitative Categorical d Qualitative Ordinal

Explained below.

Step-by-step explanation:

Qualitative variables are categorized or labelled to belong to a certain category or group.

There are two types of qualitative variables, Categorical and ordinal.

Categorical variable are those variables that are labelled in non-numeric or numeric form, where the numbers have no value. The order also does not matters. For example, the number on the jerseys of football players. It is not necessary that the player number 1 is actually the best player.

Ordinal variables are those variables where the label or category has to be in order. For example, the rank of students in the statistics class.

Quantitative variables are in numerical form and can be measured.

There are two types of quantitative variables, discrete and continuous.

Discrete variables are those variables that assume finite and specific value. For example, the number of girls in each section of a school.

Continuous variables are those variables that can assume any number of values between a specific interval. For example, the time it takes to reach point B from A.

Variable              Category               Sub-Category

Height              Quantitative              Continuous

 Grade               Qualitative                   Ordinal

Weight              Quantitative              Continuous

  Color                Qualitative               Categorical

1010: 3030

is it i think