- Is age continuous or discrete?
- Is gender a continuous variable?
- What are the 4 types of data?
- What are the two types of data?
- What are the 5 types of measurements?
- Is weight nominal or ordinal?
- Is gender discrete or continuous data?
- Is name a categorical variable?
- Is name a nominal data?
- What is the highest level of measurement?
- Is gender an independent variable?
- Is gender nominal or ordinal?
- What level of measurement is gender?
- Is age nominal or ordinal?
- What type of data is money?
- What is the difference between nominal and ordinal?
- Can data be both discrete and continuous?
- What type of data is gender?
- Is gender nominal data?
- Is gender qualitative or quantitative?
- Is age nominal or ordinal in SPSS?

## 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..

## Is gender a continuous variable?

Gender can be a continuous variable, not just a categorical one: Comment on Hyde, Bigler, Joel, Tate, and van Anders (2019)

## What are the 4 types of data?

4 Types of Data: Nominal, Ordinal, Discrete, Continuous.

## What are the two types of data?

There are two general types of data – quantitative and qualitative and both are equally important.

## What are the 5 types of measurements?

Types of data measurement scales: nominal, ordinal, interval, and ratio.

## Is weight nominal or ordinal?

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

## 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.

## 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.

## 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.

## What is the highest level of measurement?

ratioThis means that the highest level of measurement is ratio.

## Is gender an independent variable?

Although social class, religion, gender, ethnicity and age are often treated as independent variables (e.g., factors, forces, structures) and invoked as causal explanations for various outcomes, this paper approaches these constructs in more distinctive, humanly-engaged terms.

## 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).

## What level of measurement is gender?

nominalGender is an example of a nominal measurement in which a number (e.g., 1) is used to label one gender, such as males, and a different number (e.g., 2) is used for the other gender, females. Numbers do not mean that one gender is better or worse than the other; they simply are used to classify persons.

## Is age 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 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.

## What is the difference between nominal and ordinal?

Nominal scale is a naming scale, where variables are simply “named” or labeled, with no specific order. Ordinal scale has all its variables in a specific order, beyond just naming them. Interval scale offers labels, order, as well as, a specific interval between each of its variable options.

## 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. …

## What type of data is gender?

What is Categorical Data? Categorical data is a type of data that can be stored into groups or categories with the aid of names or labels. … For example, gender is a categorical data because it can be categorized into male and female according to some unique qualities possessed by each 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 gender qualitative or quantitative?

Quantitative information is often called data, but can also be things other than numbers. Qualitative Information – Involves a descriptive judgment using concept words instead of numbers. Gender, country name, animal species, and emotional state are examples of qualitative information.

## 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.