# Quick Answer: What Type Of Data Is Yes Or No?

## Is yes or no qualitative or quantitative?

Surveys (questionnaires) can often contain both quantitative and qualitative questions.

The quantitative questions might take the form of yes/no, or rating scale (1 to 5), whereas the qualitative questions would present a box where people can write in their own words..

## What type of variable is yes or no?

Binary Variables A simple version of a categorical variable is called a binary variable. This type of variable lists two distinct, mutually exclusive choices. True-or-false and yes-or-no questions are examples of binary variables.

## What are the four types of data?

4 Types of Data in Statistics – Nominal, Ordinal, Interval, Ratio.

## What type of variable is how Internet is used at home?

Income is a continuous variable. Household size and number of computers are discrete variables. (*) Occupation of head of household and type of internet connection are qualitative variables.

## What are the data types?

There are two types of quantitative data, which is also referred to as numeric data: continuous and discrete. As a general rule, counts are discrete and measurements are continuous. Discrete data is a count that can’t be made more precise. Typically it involves integers.

## 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.

## What type of variable is eye color?

A qualitative variable, also called a categorical variable, is a variable that isn’t numerical. It describes data that fits into categories. For example: Eye colors (variables include: blue, green, brown, hazel).

## What type of data is rating?

If you’re not familiar with rating scales, they’re a common type of closed-ended survey question used to ask a respondent to assign value to something, such as an object or attribute. There are many different types of scales, but the two most common ones you’ll come across are the ordinal and interval rating scales.

## Is age group 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.

## What type 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.

## What is the basic data types?

Most programming languages support basic data types of integer numbers (of varying sizes), floating-point numbers (which approximate real numbers), characters and Booleans. A data type constrains the values that an expression, such as a variable or a function, might take.

## Is yes or no nominal or ordinal?

In research activities a YES/NO scale is nominal. It has no order and there is no distance between YES and NO. There are also highly sophisticated modelling techniques available for nominal data. An ordinal scale is next up the list in terms of power of measurement.

## What is a 5 point rating scale?

5 points (Pass) Excellent. Exceptional. Mastery. Much more than acceptable.

## What is ordinal and example?

Ordinal data is a kind of categorical data with a set order or scale to it. For example, ordinal data is said to have been collected when a responder inputs his/her financial happiness level on a scale of 1-10. In ordinal data, there is no standard scale on which the difference in each score is measured.

## Is age and gender nominal or ordinal?

Consider the variable age. 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.

## What is the primary data?

Primary data is a type of data that is collected by researchers directly from main sources through interviews, surveys, experiments, etc. Primary data are usually collected from the source—where the data originally originates from and are regarded as the best kind of data in research.

## 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.

## What are 3 types of variables?

A variable is any factor, trait, or condition that can exist in differing amounts or types. An experiment usually has three kinds of variables: independent, dependent, and controlled. The independent variable is the one that is changed by the scientist.