 # Quick Answer: What Type Of Data Is Gender?

## What kind of data is height?

Quantitative data is numerical.

It’s used to define information that can be counted.

Some examples of quantitative data include distance, speed, height, length and weight..

## Is name a nominal data?

Nominal data can be both qualitative and quantitative. However, the quantitative labels lack a numerical value or relationship (e.g., identification number). … Names of people, gender, and nationality are just a few of the most common examples of nominal data.

## Why is gender a nominal variable?

A nominal variable (as in “noun”) cannot be counted. For example, gender is a nominal variable having two categories (male and female) and there is no intrinsic ordering to the categories.

## Is name a categorical variable?

Categorical variables take on values that are names or labels. The color of a ball (e.g., red, green, blue) or the breed of a dog (e.g., collie, shepherd, terrier) would be examples of categorical variables.

## What level of data is gender?

nominalIn a nominal level variable, values are grouped into categories that have no meaningful order. For example, gender and political affiliation are nominal level variables.

## Is gender discrete or continuous data?

Discrete data: when the variable is restricted to specific defined values. For example, “male” or “female” are categorical discrete data values. … Continuous data: when the variable is unrestricted and can have any value from a potentially infinite range, eg.

## What type of data is yes or no?

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 kind of data is yes or no questions?

Remember that nominal data are categorical data without any order of value. Two good examples of nominal data are “yes-no” and “true-false” answers on a survey. Chi-Square analyses can be either One-Way, with one independent variable, or Two-Way, with two independent variables.

## Is age categorical or numerical?

Quantitative variables take numerical values and represent some kind of measurement. 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.

## What are the 2 types of variables?

Dependent and Independent Variables In many research settings, there are two specific classes of variables that need to be distinguished from one another, independent variable and dependent variable.

## What type of variable is gender?

Dichotomous variables are nominal variables which have only two categories or levels. For example, if we were looking at gender, we would most probably categorize somebody as either “male” or “female”. This is an example of a dichotomous variable (and also a nominal variable).

## Is Money discrete or continuous?

A continuous distribution should have an infinite number of values between \$0.00 and \$0.01. Money does not have this property – there is always an indivisible unit of smallest currency. And as such, money is a discrete quantity.

## Is age nominal ordinal or scale?

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 are 3 types of variables?

There are three main variables: independent variable, dependent variable and controlled variables.

## Is gender nominal or ordinal?

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 gender nominal data?

Nominal Scale is derived from the Latin word “nomalis” which denotes “related to names”, is usually used to indicate categories. These categories have corresponding numbers allotted for analysis of collected data. For example, a person’s gender, ethnicity, hair color etc. are considered to be data for a nominal scale.

## Is age an ordinal variable?

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 continuous or discrete?

We could be infinitly accurate and use an infinite number of decimal places, therefore making age continuous. However, in everyday appliances, all values under 6 years and above 5 years are called 5 years old. So we use age usually as a discrete variable.

## Can data be both discrete and continuous?

Discrete data is information that can only take certain values. Height, weight, temperature and length are all examples of continuous data. …

## Is weight nominal or ordinal?

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

## What type of variable is age?

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.