# Question: What Type Of Data Is Weight?

## What type of data is age?

Mondal[1] suggests that age can be viewed as a discrete variable because it is commonly expressed as an integer in units of years with no decimal to indicate days and presumably, hours, minutes, and seconds..

## 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 data is height?

Numerical data. These data have meaning as a measurement, such as a person’s height, weight, IQ, or blood pressure; or they’re a count, such as the number of stock shares a person owns, how many teeth a dog has, or how many pages you can read of your favorite book before you fall asleep.

## Is weight nominal or ordinal?

When working with ratio variables, but not interval variables, the ratio of two measurements has a meaningful interpretation. For example, because weight is a ratio variable, a weight of 4 grams is twice as heavy as a weight of 2 grams.

## What are the 3 types of data?

Introduction to Data Types. … Categorical Data. … Nominal Data. … Ordinal Data. … Discrete Data. … Continuous Data. … Why Data Types are important? … Nominal Data.More items…

## Is weight discrete or continuous?

The weight of a fire fighter would be an example of a continuous variable; since a fire fighter’s weight could take on any value between 150 and 250 pounds. Suppose we flip a coin and count the number of heads.

## 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 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…

## Is birth month categorical or numerical?

1 Expert Answer Since there are exactly 12 possible birth months, it is discrete, and can be categorical. It is qualitative, as it describes an attribute or quality of the subject, namely the birth month.

## How can data be measured?

Data that are counted or measured using a numerically defined method are called numerical (quantitative). Discrete data arise from observations that can only take certain numerical values, usually counts such as number of children or number of patients attending a clinic in a year.

## What type of data is weight in kg?

An example of numeric continuous data is weight – i.e. one does not have to be exactly 65 or 70 kg; one may easily be 67.5567kg.

## Is birth month nominal or ordinal?

Month should be considered qualitative nominal data.

## 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.

## What type of data is height and weight?

Quantitative data is numerical. It’s used to define information that can be counted. Some examples of quantitative data include distance, speed, height, length and weight.

## Is gender ordinal or nominal?

There are two types of categorical variable, nominal and ordinal. A nominal variable has no intrinsic ordering to its categories. For example, gender is a categorical variable having two categories (male and female) with no intrinsic ordering to the categories. An ordinal variable has a clear ordering.

## Are years ordinal?

Time is (usually) a continuous interval variable, so quantitative. … So year is a discretized measure of a continuous interval variable, so quantitative. Year can also be an ordinal variable. For example, you might have data on the top marginal income tax rate per year.

## What are the 2 types of data?

We’ll talk about data in lots of places in the Knowledge Base, but here I just want to make a fundamental distinction between two types of data: qualitative and quantitative. The way we typically define them, we call data ‘quantitative’ if it is in numerical form and ‘qualitative’ if it is not.

## Is age categorical or numerical?

In our medical example, age is an example of a quantitative variable because it can take on multiple numerical values. It also makes sense to think about it in numerical form; that is, a person can be 18 years old or 80 years old.