I am not sure if I understand your question. I will rephrase it to: Should data collected on the ages of persons in a group be consider as nominal, ordinal, interval or ratio data? It is ratio. Now, let's try another question. A study finds that people with names beginning with the letter "a-k" are older than people with letters "l-z". In this case, the data collected on names in nominal data, but the ages are still ratio data.
illustrate how you can express the age of group of persons as {1}nominal,{2}ordinal data,{3} interval data,{4}ratio data
Neither, age is at a ratio level of measurement.
A person's age is a ratio scale because we can say person A's age is twice older than person B's. Equal difference ages on a ratio scale all have exactly the same size. Moreover in age, 0 (zero) exists, which is feature of a ratio scale.
Ordinal. Though more likely interval or even ratio scale.
The ratio of moviegoers in the 18-24 age group to all moviegoers typically varies by region and specific demographics studied. Generally, this age group represents a significant portion of the audience, often around 20-30% of total moviegoers, depending on the movie and its appeal. To calculate an exact ratio, one would need specific data on the number of moviegoers in this age range compared to the total number of moviegoers.
illustrate how you can express the age of group of persons as {1}nominal,{2}ordinal data,{3} interval data,{4}ratio data
Age is none of the items listed. Age is ratio data.
Neither, age is at a ratio level of measurement.
A person's age is a ratio scale because we can say person A's age is twice older than person B's. Equal difference ages on a ratio scale all have exactly the same size. Moreover in age, 0 (zero) exists, which is feature of a ratio scale.
Age group voting patterns in the last presidential election would be an example of nominal data. Take the age groups and describe if they tended to vote Democrat, Republican, Independent, and so on. Another example is take the same age groups and determine the brand of cars they typically purchase such as GM, Ford, Toyota, Kia and so forth. Ordinal data example would be to take the same age groups as above and determine highest percentage of education level (say from the Department of Education statistics) from the group such as High School, Technical School, Bachelor Degree, Master Degree, or Doctorate Degree (MD, PhD). Or, take the age same groups and ask then how they think Obama is doing as president: Good, Neutral, or Poor.
Yes, age is quantitative data because it is a numerical measurement that represents a person's age in years.
Ordinal. Though more likely interval or even ratio scale.
Ordinal
ordinal
Yes, age is considered objective data because it can be measured and documented with accuracy. Age is typically based on a person's date of birth and is not subject to interpretation or personal bias.
Response to the death of a person or a group.
No age limit, just need to pay a nominal fee