# Why is age continuous data?

## Why is age continuous data?

Explanation: Age is measured in units that, if precise enough, could be any number. Therefore the set they come from is infinite. We could be infinitly accurate and use an infinite number of decimal places, therefore making age continuous.

### What is mean by interval of data?

Interval data is measured along a numerical scale that has equal distances between adjacent values. These distances are called “intervals.” There is no true zero on an interval scale, which is what distinguishes it from a ratio scale.

#### What kind of data is test scores?

In scientific research, a variable is anything that can take on different values across your data set (e.g., height or test scores). There are 4 levels of measurement: Nominal: the data can only be categorized.

What are the levels of data?

A variable has one of four different levels of measurement: Nominal, Ordinal, Interval, or Ratio. (Interval and Ratio levels of measurement are sometimes called Continuous or Scale).

What are the types of scale?

The four types of scales are:

• Nominal Scale.
• Ordinal Scale.
• Interval Scale.
• Ratio Scale.

## What is scale data in SPSS?

SPSS. SPSS measurement levels are limited to nominal (i.e. categorical), ordinal (i.e. ordered like 1st, 2nd, 3rd…), or scale. Essentially, a scale variable is a measurement variable — a variable that has a numeric value. Variables with numeric responses are assigned the scale variable label by default.

### What data scale means?

Scales of measurement in research and statistics are the different ways in which variables are defined and grouped into different categories. Sometimes called the level of measurement, it describes the nature of the values assigned to the variables in a data set.

#### What type of data is age in SPSS?

The example assumes you have already opened the data file in SPSS. Age is a key demographic variable, frequently recorded in survey data as part of a broader set of demographic variables such as education, income, race, ethnicity, and gender.

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