Technically speaking, age is a continuous variable because it can take on any value with any number of decimal places.
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.
While many demographic variables are categorical by nature, for example, religion, race, or nationality, those that are continuous by nature, such as age or income, can be recorded and managed either as continuous or categorical, both at the data collection stage and later in the data processing stage.
One question that students often have is: Is age considered a qualitative or quantitative variable? The short answer: Age is a quantitative variable because it represents a measurable quantity.
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. Weight and height are also examples of quantitative variables.
No. He lost the ability to speak with snakes just after the horcrux inside him was destroyed. It was because of Voldemort's soul that Harry was able to speak and understand it. And just after Voldemort killed( partially ) Harry in the forbidden forest, he was no longer able to understand it .
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