Question: What Kind Of Variable Is Age?

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 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 weight nominal or ordinal?

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

Is age continuous or categorical?

An Example: Age Age is, technically, continuous and ratio. A person’s age does, after all, have a meaningful zero point (birth) and is continuous if you measure it precisely enough. It is meaningful to say that someone (or something) is 7.28 year old.

Is weight an interval or ratio?

For example, because weight is a ratio variable, a weight of 4 grams is twice as heavy as a weight of 2 grams.

Is age a categorical variable?

Categorical variables represent types of data which may be divided into groups. Examples of categorical variables are race, sex, age group, and educational level.

Is age an interval or ratio?

A ratio scale has the first characteristic of the interval scale (interval) but also has a meaningful zero point—which means the absence of the attribute. This enables multiplication and division on the values. Using the aforementioned definition, age is in a ratio scale.

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).

How do you know if something is discrete or continuous?

A discrete variable is a variable whose value is obtained by counting. A continuous variable is a variable whose value is obtained by measuring. A random variable is a variable whose value is a numerical outcome of a random phenomenon. A discrete random variable X has a countable number of possible values.

How do you know if your data is discrete or continuous?

Discrete data involves round, concrete numbers that are determined by counting. Continuous data involves complex numbers that are measured across a specific time interval.

How do you identify categorical variables?

3 Answers. You could say that some variables are categorical or treat them as categorical by the length of their unique values. For instance if a variable has only unique values [-2,4,56] you could treat this variable as categorical. Every unique value in every variable treated as categorical will create a new column.

What are the two types of categorical data?

There are two types of categorical data, namely; the nominal and ordinal data. Nominal Data: This is a type of data used to name variables without providing any numerical value.

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 a discrete variable?

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

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 is the difference between nominal and ordinal variables?

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.

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.

Is gender a discrete variable?

Discrete data: when the variable is restricted to specific defined values. For example, “male” or “female” are categorical discrete data values.

What kind of variable is height?

A variable is said to be continuous if it can assume an infinite number of real values. Examples of a continuous variable are distance, age and temperature. … For example, the height of a student is a continuous variable because a student may be 1.6321748755… metres tall.