# What Are The Three Different Types Of Data?

## What type of data is yes or no?

Context is important.

The context of the study and the relevant questions of interest are important in specifying what kind of variable we will analyze.

For example, Did you get a flu.

(Yes or No) — is a binary nominal categorical variable..

## What are the 3 types of data?

So as you collect data on a day-to-day basis, ask yourself which category the data falls into….There are Three Types of DataShort-term data. This is typically transactional data. … Long-term data. … Useless data.

## 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 age categorical or quantitative data?

Categorical variables take category or label values and place an individual into one of several groups. … In our medical example, age is an example of a quantitative variable because it can take on multiple numerical values.

## What type of variable is birth month?

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.

## What type of data is money?

The money data type is an abstract data type. Money values are stored significant to two decimal places. These values are rounded to their amounts in dollars and cents or other currency units on input and output, and arithmetic operations on the money data type retain two-decimal-place precision.

## How many types of data are there?

twoThere are two general types of data: analog and digital. Nature is analog, while a computer is digital. All digital data are stored as binary digits. One of the most common data types is text, also referred to as character strings.

## What are the 4 types of data?

Types of Data in Statistics – Nominal, Ordinal, Interval, and Ratio Data Types Explained with Examples.

## What are 2 examples of quantitative data?

Here are some example of quantitative data:A jug of milk holds one gallon.The painting is 14 inches wide and 12 inches long.The new baby weighs six pounds and five ounces.A bag of broccoli crowns weighs four pounds.A coffee mug holds 10 ounces.John is six feet tall.A tablet weighs 1.5 pounds.More items…

## What type of data is age?

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.

## What type of data is test scores?

Levels of measurement, also called scales of measurement, tell you how precisely variables are recorded. 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.