Question: Is Age A Continuous Variable?

Is age a categorical data?

Gender and race are the two other categorical variables in our medical records example.

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..

Is gender a discrete or continuous variable?

continuous data. Discrete data: when the variable is restricted to specific defined values. For example, “male” or “female” are categorical discrete data values.

Is Likert scale continuous or categorical?

Ambiguities in classifying a type of variable In some cases, the measurement scale for data is ordinal, but the variable is treated as continuous. For example, a Likert scale that contains five values – strongly agree, agree, neither agree nor disagree, disagree, and strongly disagree – is ordinal.

How do you know if a variable is continuous?

If you start counting now and never, ever, ever finish (i.e. the numbers go on and on until infinity), you have what’s called a continuous variable. If your variable is “Number of Planets around a star,” then you can count all of the numbers out (there can’t be an infinite number of planets).

Is hours of sleep discrete or continuous?

Examples: Amount of sleep is a variable. 3, 5, 9 hours of sleep are different values for that variable. Variables can be continuous or discrete.

Is gender nominal or ordinal in SPSS?

Measure in SPSS It is not possible to rank the categories created. e.g. Gender varies in that an individual is either categorised as “male” or “female”. An Ordinal variable is one where it is possible to rank the categories or put them in an order. The intervals between the categories used are not defined.

Is age a continuous or categorical variable?

Continuous variables are measured numerically, and have an infinite number of possible values. For example, an age variable measured continuously could have a value of 23.487 years old—if you wanted to get that specific!

What type of variable 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.

Is marital status a continuous variable?

Thus marital status is a nominal variable. If there is a natural ordering of categories, the variable is described as ordinal. … Categorical variables that can take only two possible values are called dichotomous variables.

What is an example of a continuous variable?

Continuous variables are numeric variables that have an infinite number of values between any two values. A continuous variable can be numeric or date/time. For example, the length of a part or the date and time a payment is received.

What is an example of continuous data?

Continuous data is data that can take any value. Height, weight, temperature and length are all examples of continuous data. Some continuous data will change over time; the weight of a baby in its first year or the temperature in a room throughout the day.

What is an example of continuous random variable?

A continuous random variable is a random variable where the data can take infinitely many values. For example, a random variable measuring the time taken for something to be done is continuous since there are an infinite number of possible times that can be taken.

Is number of days discrete or continuous?

It depends how did you record the time, e.g. if you count days, or record hours rounded to the nearest hour then it is rather discrete; when you record days, hours and minutes of something happening, then it is closer to continuous.

Is money a continuous variable?

Continuous variables can take any value in an interval. For example, height of a child, length of a component or weight of an apple. … Money changes in steps of 1p and so is a discrete variable. However, if you are dealing with hundreds of pounds the steps are so small that it may be treated as a continuous variable.

What are examples of ordinal variables?

Examples of ordinal variables include: socio economic status (“low income”,”middle income”,”high income”), education level (“high school”,”BS”,”MS”,”PhD”), income level (“less than 50K”, “50K-100K”, “over 100K”), satisfaction rating (“extremely dislike”, “dislike”, “neutral”, “like”, “extremely like”).

Why is age a continuous variable?

Age is measured in units that, if precise enough, could be any number. Therefore the set they come from is infinite. For example, someone could be 22.32698457 years old or 22.32698459 years old. We could be infinitly accurate and use an infinite number of decimal places, therefore making age continuous.

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.

How do you know if something is discrete or continuous?

Definition: A set of data is said to be continuous if the values belonging to the set can take on ANY value within a finite or infinite interval. Definition: A set of data is said to be discrete if the values belonging to the set are distinct and separate (unconnected values).

What kind of variable is gender?

A categorical variable (sometimes called a nominal variable) is one that has two or more categories, but there is no intrinsic ordering to the categories. For example, gender is a categorical variable having two categories (male and female) and there is no intrinsic ordering to the categories.

What are the two types of quantitative variables?

There are two types of quantitative variables: discrete and continuous. What does the data represent? Counts of individual items or values.

Is BMI nominal or ordinal?

A common example is to provide information about an individual’s Body Mass Index by stating whether the individual is underweight, normal, overweight, or obese. This categorized BMI is an example of an ordinal categorical variable.