- Is eye color a continuous variable?
- Is eye color categorical or quantitative?
- Is eye color nominal or ordinal?
- What type of variable is eye color?
- Is ID nominal or ordinal?
- Is eye Colour discrete or continuous?
- What is difference between nominal and ordinal data?
- Is height nominal or ordinal?
- Is marital status nominal or ordinal?
- What are the 4 types of data?
- Is birth month nominal or ordinal?
- Is age range nominal or ordinal?
- Is age nominal or ordinal in SPSS?

## Is eye color a continuous variable?

And clearly hair color, skin color and eye color all fall under the definition of a continuous trait, because even though they dont seem to be affected by the environment, they are definitely polygenic traits and show a gradation, so they’re definitely continuous traits..

## Is eye color categorical or quantitative?

Eye color is not a quantitative variable, it is a categorical random variable.

## Is eye color nominal or ordinal?

You can code nominal variables with numbers if you want, but the order is arbitrary and any calculations, such as computing a mean, median, or standard deviation, would be meaningless. Examples of nominal variables include: genotype, blood type, zip code, gender, race, eye color, political party.

## What type of variable is eye color?

A qualitative variable, also called a categorical variable, is a variable that isn’t numerical. It describes data that fits into categories. For example: Eye colors (variables include: blue, green, brown, hazel).

## Is ID nominal or ordinal?

Basic definitionsNominalJust names, IDsOrdinalHave / represent rank order (e.g. fully agree, mostly agree, somewhat agree)IntervalHas a fixed size of interval between data points. (E.g. degrees Centigrade)RatioHas a true zero point (e.g. mass, length, degrees Kelvin)Jul 22, 2019

## Is eye Colour discrete or continuous?

Colors can be either, depending on how you look at it. Most commonly, we look on eye color as discrete with answers like blue, green, brown and so on. However, none of those are really distinct, that is, not all blue eyed people have the same color eye.

## What is 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 height nominal or ordinal?

“A person’s height” is ratio data. Nominal data has values that have no numerical meaning, such as a person’s gender (M, F) or possible colors of a new Chevy Cruz this year. Notice that sometimes surveys will code such data with numbers, like 0= Male and 1 = Female.

## Is marital status nominal or ordinal?

Nominal: Unordered categorical variables. These can be either binary (only two categories, like gender: male or female) or multinomial (more than two categories, like marital status: married, divorced, never married, widowed, separated). The key thing here is that there is no logical order to the categories.

## What are the 4 types of data?

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

## Is birth month nominal or ordinal?

Month should be considered qualitative nominal data. With years, saying an event took place before or after a given year has meaning on its own.

## Is age range 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.

## 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.