What data type is age?

What data type is age?

Age can be both nominal and ordinal data depending on the question types. I.e “How old are you” is used to collect nominal data while “Are you the firstborn 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 is categorical or quantitative?

Quantitative variables are any variables where the data represent amounts (e.g. height, weight, or age). Categorical variables are any variables where the data represent groups.

Is hours of sleep quantitative or categorical?

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….Frequency distribution table:

Is age a categorical or numerical variable?

Age and Income are continuous numerical variables. (Although the recorded ages have been truncated to whole numbers, the concept of age is continuous.) Number of children is a discrete numerical variable (a count).

Is age discrete or continuous variable?

Age is either discrete (a count) or continuous depending on how age is measured. Generally, age is specified as a count of the number of full years lived, but it is used as a continuous variables.

What is the difference between quantitative and categorical data?

Basically, anything you can measure or count is quantitative. Categorical data, in contrast, is for those aspects of your data where you make a distinction between different groups, and where you typically can list a small number of categories.

Is age a continuous variable?

Age is a continuous variable. Each second we get a bit older. On the other hand, if you specify that the measurement must be by month without fractions, it could technically be a discreet variable. Generally with the amount of variation allowed, it would be considered continuous.