- Is age nominal or ordinal?
- Is salary discrete or continuous?
- Is time a discrete variable?
- What are the 4 levels of measurement?
- Is height discrete or continuous?
- Is eye color nominal or ordinal?
- What are 3 types of variables?
- What are the 4 types of data?
- Is height a discrete variable?
- Is height nominal or ordinal?
- What type of variable is height and weight?
- Is weight nominal or ordinal?
- Is height an interval?
- Is gender ordinal or nominal?
- Is color ordinal or nominal?
- What are the 5 types of variables?
- Is height a dependent variable?
- Is height an ordinal 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..

## Is salary discrete or continuous?

Strictly speaking, it is a discrete variable, given that there is a basic unit of 1p below which measurements cannot be taken. However, 1p is so small in relation to an annual salary (even the annual salary of a teacher) that in practice it is treated like a continuous variable.

## Is time a discrete variable?

Time is a continuous variable. You could turn age into a discrete variable and then you could count it. … A person’s age in years.

## What are the 4 levels of measurement?

There are four levels of measurement – nominal, ordinal, and interval/ratio – with nominal being the least precise and informative and interval/ratio variable being most precise and informative.

## Is height discrete or continuous?

Explanation: Discrete data is data where it has to be from a certain set of values e.g a shoe size can only be a certain value. The height is continuous as the height could take multiple values e.g from 10m all the way up 18.95m.

## Is eye color nominal or ordinal?

Certainly, eye color is a nominal variable, since it is multi-valued (blue, green, brown, grey, pink, black), and there is no clear scale on which to fit the different values.

## 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. The independent variable is the one that is changed by the scientist.

## 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.

## Is height a discrete variable?

A discrete variable is one that cannot take on all values within the limits of the variable. A variable such as a person’s height can take on any value. … Variables that can take on any value and therefore are not discrete are called continuous.

## 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.

## What type of variable is height and weight?

Variables like height, weight, enzyme activity are ratio variables. Temperature, expressed in F or C, is not a ratio variable.

## 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.

## Is height an interval?

Ratio scales have all of the characteristics of interval scales as well as a true zero, which refers to complete absence of the characteristic being measured. Physical characteristics of persons and objects can be measured with ratio scales, and, thus, height and weight are examples of ratio measurement.

## 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.

## Is color ordinal or nominal?

When measuring using a nominal scale, one simply names or categorizes responses. Gender, handedness, favorite color, and religion are examples of variables measured on a nominal scale. The essential point about nominal scales is that they do not imply any ordering among the responses.

## 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 height a dependent variable?

In other words, the dependent variable DEPENDS on the independent variable. The dependent variable is usually what scientists measure in an experiment. … The dependent variable is the height of the plant, because you predict that the height is going to change DEPENDING on how much water the plant receives.

## 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.