Is natural hair color qualitative or quantitative?

Also known as categorical variables, qualitative variables are variables with no natural sense of ordering. They are therefore measured on a nominal scale. For instance, hair color (Black, Brown, Gray, Red, Yellow) is a qualitative variable, as is name (Adam, Becky, Christina, Dave . . .).

Is hair color a quantitative data?

Quantitative Variables – Variables whose values result from counting or measuring something. … Their values do not result from measuring or counting. Examples: hair color, religion, political party, profession. Designator – Values that are used to identify individuals in a table.

Is hair color a qualitative data?

Qualitative data are the result of categorizing or describing attributes of a population. Hair color, blood type, ethnic group, the car a person drives, and the street a person lives on are examples of qualitative data.

Is hair color quantitative or categorical?

Hair color is also a categorical variable having a number of categories (blonde, brown, brunette, red, etc.) and again, there is no agreed way to order these from highest to lowest. A purely nominal variable is one that simply allows you to assign categories but you cannot clearly order the categories.

Which is an example of quantitative variable?

As discussed in the section on variables in Chapter 1, quantitative variables are variables measured on a numeric scale. Height, weight, response time, subjective rating of pain, temperature, and score on an exam are all examples of quantitative variables.

What type of data is hair color?

Qualitative data are the result of categorizing or describing attributes of a population. Hair color, blood type, ethnic group, the car a person drives, and the street a person lives on are examples of qualitative data.

What are 3 examples of qualitative data?

The hair colors of players on a football team, the color of cars in a parking lot, the letter grades of students in a classroom, the types of coins in a jar, and the shape of candies in a variety pack are all examples of qualitative data so long as a particular number is not assigned to any of these descriptions.

What are 5 examples of qualitative data?

Examples of Qualitative Data
  • Diary accounts. Diary accounts are collected as part of diary studies. …
  • Documents. …
  • Case studies. …
  • Photographs. …
  • Audio recordings. …
  • Video recordings. …
  • Transcriptions. …
  • Descriptions.

Is hair color nominal or ordinal?

Hair color is an example of a nominal level of measurement. Nominal measures are categorical, and those categories cannot be mathematically ranked. There is no ranking order between hair colors.

What are examples of qualitative variables?

Also known as categorical variables, qualitative variables are variables with no natural sense of ordering. They are therefore measured on a nominal scale. For instance, hair color (Black, Brown, Gray, Red, Yellow) is a qualitative variable, as is name (Adam, Becky, Christina, Dave . . .).

Is hair color qualitative or quantitative quizlet?

Qualitative or categorical variables–such as gender, hair color, or ethnicity–group individuals. Qualitative and categorical variables have neither a “size” nor, typically, a natural ordering to their values.


Is hair Colour a discrete or continuous variable?

Hair colour is a type of discrete data because the values are distinct. You either have one hair colour or another! Continuous data covers a range, so each category is not separate but runs into the next.

Is eye color qualitative or quantitative?

The ‘eye colour of a pupil’ is an attribute of an individual and is an example of qualitative data, the ‘numbers of pupils with each eye colour’ is a variable consisting of quantitative data.

Is days absent qualitative or quantitative?

Race or ethnicity, grade level, and disabilities/special needs are categorical variables. Number of absences, age, reading test score, and math test score are quantitative variables.

Are grades qualitative or quantitative?

For example, a G.P.A. of 3.3 and a G.P.A. of 4.0 can be added together (3.3 + 4.0 = 7.3), so that means it’s quantitative. On the other hand, grades of A, B, or C can’t be added together unless you convert them to numbers, so A, B, and C, are not quantitative.