# Is Nominal Qualitative Or Quantitative?

## What is nominal scale example?

A nominal scale is a scale (of measurement) that uses labels to classify cases (measurements) into classes.

Some examples of variables that use nominal scales would be religious affiliation, sex, the city where you live, etc.

Example.

One example of a nominal scale could be “sex”..

## Is nominal measurement qualitative?

The nominal level of measurement is qualitative and has no mathematical interpretation. The quantitative levels of measurement – ordinal, interval, and ratio – are progressively more mathematically precise as you move along the levels.

## What is an example of ordinal measurement?

In ordinal measurement the attributes can be rank-ordered. Here, distances between attributes do not have any meaning. For example, on a survey you might code Educational Attainment as 0=less than high school; 1=some high school.; 2=high school degree; 3=some college; 4=college degree; 5=post college.

## Is income nominal or ordinal?

For example, income is a variable that can be recorded on an ordinal or a ratio scale: At an ordinal level, you could create 5 income groupings and code the incomes that fall within them from 1–5. At a ratio level, you would record exact numbers for income.

## What are 2 examples of quantitative data?

Here are some example of quantitative data:A jug of milk holds one gallon.The painting is 14 inches wide and 12 inches long.The new baby weighs six pounds and five ounces.A bag of broccoli crowns weighs four pounds.A coffee mug holds 10 ounces.John is six feet tall.A tablet weighs 1.5 pounds.More items…

## What are the 4 types of data?

Types of Data in Statistics – Nominal, Ordinal, Interval, and Ratio Data Types Explained with Examples.

## Is rank qualitative or quantitative?

A. Sex and blood type are Qualitative variables, Class rank is quantitative discrete variable (you may also call it ordinal ), Weight is quantitative continuous variable.

## What is an example of interval data?

Interval data is measured on an interval scale. A simple example of interval data: The difference between 100 degrees Fahrenheit and 90 degrees Fahrenheit is the same as 60 degrees Fahrenheit and 70 degrees Fahrenheit. … For example, Object A is twice as large as Object B is not a possibility in interval data.

## What is the difference between nominal and ordinal data?

Nominal and ordinal are two of the four levels of measurement. Nominal level data can only be classified, while ordinal level data can be classified and ordered.

## Is interval data qualitative or quantitative?

Interval and ratio are the two highest levels of measurement in Stevens’ original system. Unlike nominal- and ordinal-level data, which are qualitative in nature, interval- and ratio-level data are quantitative. Examples of interval level data include temperature and year.

## Is age nominal or ordinal in SPSS?

Age is frequently collected as ratio data, but can also be collected as ordinal data. This happens on surveys when they ask, “What age group do you fall in?” There, you wouldn’t have data on your respondent’s individual ages – you’d only know how many were between 18-24, 25-34, etc.

## Is birth year qualitative or quantitative?

The year is a categorical variable. The ratio between two years is not meaningful which is why its not appropriate to classify it as a quantitative variable.

## Is age nominal or ordinal?

Age can be both nominal and ordinal data depending on the question types. I.e “How old are you” is a used to collect nominal data while “Are you the first born or What position are you in your family” is used to collect ordinal data. Age becomes ordinal data when there’s some sort of order to it.

## What is the example of nominal?

Examples of nominal variables include: genotype, blood type, zip code, gender, race, eye color, political party.

## What are the two types of data in statistics?

Most data fall into one of two groups: numerical or categorical. Numerical data. … (Statisticians also call numerical data quantitative data.) Numerical data can be further broken into two types: discrete and continuous.

## Is GPA qualitative or quantitative?

General rule of thumb: if you can add it, it’s 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.

## Is weight quantitative or qualitative?

Examples of quantitative data are scores on achievement tests,number of hours of study, or weight of a subject. These data may berepresented by ordinal, interval or ratio scales and lend themselves to moststatistical manipulation. Qualitative data cannot be expressed as a number.

## Is binary data qualitative or quantitative?

For example, binary data, as introduced in many introductory texts or courses, certainly sound qualitative: yes or no, survived or died, present or absent, male or female, whatever. But score the two possibilities 1 or 0 and everything is then perfectly quantitative.

## What does ordinal mean in statistics?

Ordinal data is a statistical type of quantitative data in which variables exist in naturally occurring ordered categories. In statistics, a group of ordinal numbers indicates ordinal data and a group of ordinal data are represented using an ordinal scale. …