- What kind of data is age?
- Is age continuous or discrete?
- Is ordinal qualitative or quantitative?
- Is age nominal or ordinal in SPSS?
- How do you know if a variable is ordinal?
- How do you know if its nominal ordinal interval or ratio?
- Is age a ratio variable?
- Is weight nominal or ordinal?
- Is time ordinal or nominal?
- Is birth year an interval or ratio?
- Is age ratio or ordinal?
- How do you know if your data is discrete or continuous?
- Is age categorical or numerical?
- Are children nominal number?
- Is birth month nominal or ordinal?
- Is gender ordinal or nominal?
- Is year level nominal or ordinal?
- What are the 4 types of scales?
- Is hair color ordinal or nominal?

## What kind 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 age continuous or discrete?

Age is measured in units that, if precise enough, could be any number. Therefore the set they come from is infinite. For example, someone could be 22.32698457 years old or 22.32698459 years old. We could be infinitly accurate and use an infinite number of decimal places, therefore making age continuous.

## Is ordinal qualitative or quantitative?

Data at the nominal level of measurement are qualitative. … 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.

## 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.

## 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 its nominal ordinal interval or ratio?

In summary, nominal variables are used to “name,” or label a series of values. Ordinal scales provide good information about the order of choices, such as in a customer satisfaction survey. Interval scales give us the order of values + the ability to quantify the difference between each one.

## Is age a ratio variable?

An Example: Age A great example of this is a variable like 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 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 time ordinal or nominal?

Ratio data is interval data with a natural zero point. For example, time is ratio since 0 time is meaningful. Degrees Kelvin has a 0 point (absolute 0) and the steps in both these scales have the same degree of magnitude. Who Cares?

## Is birth year an interval or ratio?

An interval-scale variable is measured on a scale of equally spaced units, but without a true zero point, such as date of birth. A ratio-scale variable is an interval variable with a true zero point, such as height in centimeters or duration of illness.

## Is age ratio or ordinal?

For example, observations of actual age (ratio scale) can be converted to categories of older and younger (ordinal scale), but age measured as simply older or younger cannot be converted to measures of actual age.

## 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.

## 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.

## Are children nominal number?

The number of children or cars a family has are examples of discrete data points. … Data from a nominal phenomenon have no order and are purely categorical. The color of the car you drive is a nominal data point. Nominal data’s only purpose is to group observations in some manner without regard to hierarchy.

## Is birth month nominal or ordinal?

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.

## 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 year level nominal or ordinal?

Nominal (unordered) variables, e.g., gender, ethnic background, religious or political affiliation. Ordinal (ordered) variables, e.g., grade levels, income levels, school grades. Discrete interval variables with only a few values, e.g., number of times married.

## What are the 4 types of scales?

Introduction: There are 4 types of scales, based on the extent to which scale values have the arithmetic properties of true numbers. The arithmetic proper- ties are order, equal intervals, and a true zero point. From the least to the most mathematical, the scale types are nominal, ordinal, interval, and ratio.

## Is hair color ordinal or nominal?

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.