# What Type Of Variable Is Height And Weight?

## 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 level of data is height?

“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.

## What kind of variable is height?

The measurement of a continuous variable is restricted by the methods used, or by the accuracy of the measuring instruments. For example, the height of a student is a continuous variable because a student may be 1.6321748755… metres tall.

## Is height an ordinal variable?

An ordinal variable, is one where the order matters but not the difference between values. … When the variable equals 0.0, there is none of that variable. Variables like height, weight, enzyme activity are ratio variables.

## What are 3 types of variables?

A variable is any factor, trait, or condition that can exist in differing amounts or types. An experiment usually has three kinds of variables: independent, dependent, and controlled.

## What are the 4 types of data?

These four data measurement scales (nominal, ordinal, interval, and ratio) are best understood with example, as you’ll see below.

## What type of variable 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.

## What are the two 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.

## What kind 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.

## What type of variable is length?

Measurement variables are, as the name implies, things you can measure. An individual observation of a measurement variable is always a number. Examples include length, weight, pH, and bone density. Other names for them include “numeric” or “quantitative” variables.

## What are the 5 types of variables?

There are six common variable types:DEPENDENT VARIABLES.INDEPENDENT VARIABLES.INTERVENING VARIABLES.MODERATOR VARIABLES.CONTROL VARIABLES.EXTRANEOUS VARIABLES.

## Is weight an ordinal variable?

An ordinal variable, is one where the order matters but not the difference between values. … When the variable equals 0.0, there is none of that variable. Variables like height, weight, enzyme activity are ratio variables. Temperature, expressed in F or C, is not a ratio variable.