Quick Answer: Is Age Nominal Ordinal Discrete Or Continuous?

Is ethnicity nominal or ordinal?

Nominal variables describe categories that do not have a specific order to them.

These include ethnicity or gender..

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 age continuous or discrete?

We could be infinitly accurate and use an infinite number of decimal places, therefore making age continuous. However, in everyday appliances, all values under 6 years and above 5 years are called 5 years old. So we use age usually as a discrete variable.

Is Money continuous or discrete?

A continuous distribution should have an infinite number of values between $0.00 and $0.01. Money does not have this property – there is always an indivisible unit of smallest currency. And as such, money is a discrete quantity.

Is annual income continuous or discrete?

An annual income of a person is a discrete variable. This implies it cannot be constant, but if it is more convenient for your program, you can consider it as a continuous attribute, because there are so many meanings for it, again. The profits will often be broken up into groups of polls and other data sets.

How do you know if a variable is ordinal?

An ordinal variable is similar to a categorical variable. The difference between the two is that there is a clear ordering of the categories. For example, suppose you have a variable, economic status, with three categories (low, medium and high).

Is ordinal qualitative or quantitative?

Data at the ordinal level of measurement are quantitative or qualitative. They can be arranged in order (ranked), but differences between entries are not meaningful. Data at the interval level of measurement are quantitative. They can be ordered, and meaningful differences between data entries can be calculated.

What kind of variable is age?

Numerical variablesIn statistics, there are broadly 2 types of variables: Numerical variables: Numbers which should be treated as they usually are in mathematics. For example, age and weight would be considered numerical variables, while phone number and ZIP code would not be considered numerical variables.

Is gender a discrete or continuous variable?

Variable Reference Table : Few ExamplesVariableVariable TypeVariable ScaleGenderDiscreteCategoricalGender as Binary 1/0 CodingDiscreteCategoricalTrue/FalseDiscreteCategoricalPhone NumberDiscreteNominal15 more rows•Oct 7, 2016

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 weight nominal or ordinal?

4. Nominal Ordinal Interval Ratio. Weight is measured on the ratio scale.

What is the difference between a nominal and ordinal variable?

Nominal scale is a naming scale, where variables are simply “named” or labeled, with no specific order. Ordinal scale has all its variables in a specific order, beyond just naming them. Interval scale offers labels, order, as well as, a specific interval between each of its variable options.

What is the difference between nominal and ordinal in SPSS?

nominal scale: scale of measurement in whch numbers are used simply as names and not as quantites. In ordinal level of measurement the order matters but the differences don’t matter but in SPSS scale means measurement at the level of interval/ratio.

What do we use discrete continuous nominal ordinal?

Nominal and Ordinal are part of Qualitative variable therefore, we use them in defining groups of subject (Nominal) and ranking in a certain order (Ordinal). On the other hand, Discrete and Continuous are part of Quantitative variable. We use them on counting whole number (Discrete) and fractional (Non-whole numbers).

Is nominal data discrete or continuous?

Nominal Data Nominal values represent discrete units and are used to label variables, that have no quantitative value. Just think of them as „labels“. Note that nominal data that has no order. Therefore if you would change the order of its values, the meaning would not change.

Is gender ordinal or nominal?

There are four basic levels: nominal, ordinal, interval, and ratio. A variable measured on a “nominal” scale is a variable that does not really have any evaluative distinction. One value is really not any greater than another. A good example of a nominal variable is sex (or gender).

Is age categorical or numerical?

Quantitative variables take numerical values and represent some kind of measurement. 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.

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.

Can ordinal data be continuous?

In some cases, the measurement scale for data is ordinal, but the variable is treated as continuous. For example, a Likert scale that contains five values – strongly agree, agree, neither agree nor disagree, disagree, and strongly disagree – is ordinal.

Is IQ nominal or ordinal?

1 Expert Answer. Yes, IQ is measured on an interval scale, but some tests also break specific skills into categories that are then measured using interval data. IQ is numeric data expressed in intervals using a fixed measurement scale.

Is hair color nominal or ordinal?

Similarly, hair color is also a nominal variable having a number of categories (blonde, brown, brunette, red, etc.). If the variable has a clear way to be ordered/sorted from highest to lowest, then that variable would be an ordinal variable, as described below.