The answer may be discrete data.
Quantitative data deals with numbers. It is data that can be measured. An example of this is: 51% of the world's population is female.
It is quantitative data.
data or information that is measured numerically rather than qualitatively.
Quantitative data is measurable and numerical in nature. In contrast, qualitative data is any data that is not numerical and cannot be measured, only observed. Examples of quantitative data include age, height, year, and population. Examples of qualitative data include color, gender, country, and city.
The answer may be discrete data.
Quantitative data deals with numbers. It is data that can be measured. An example of this is: 51% of the world's population is female.
Stuff that cam be measured (consistently).
It is quantitative data.
Anytime you are able to measure something, it is quantitative data. Qualitative data represents the quality of something which cannot be measured.
To report what color something is would be qualitative data not quantitative. Quantitative data, by definition, is a measurement of some quantity, and therefore it requires a number of some kind. Light intensity can be measured with a photometer, which would be quantitative data. Color isn't.
data or information that is measured numerically rather than qualitatively.
Quantitative data is measurable and numerical in nature. In contrast, qualitative data is any data that is not numerical and cannot be measured, only observed. Examples of quantitative data include age, height, year, and population. Examples of qualitative data include color, gender, country, and city.
The primary characteristic that distinguishes quantitative data from qualitative data is that quantitative data is numerical and can be measured or counted, allowing for statistical analysis and objective comparisons. In contrast, qualitative data is descriptive and subjective, focusing on characteristics, themes, or qualities that cannot be easily quantified. While quantitative data answers "how much" or "how many," qualitative data explores "why" or "how" regarding a phenomenon.
Qualitative properties are properties that are observed and can generally not be measured with a numerical result. They are contrasted to quantitative properties which have numerical characteristics.
don't you mean quantitative data and qualitative data?
Qualitative has to do with quality and can be subjective. Quantitative has to do with quantity and is measured in numbers. Qualitative data deals with descriptions of what you can see, such as colors, smells, tastes, etc. It can be seen, but not measured. Quantitative data deals with numbers, such as length, height, area, volume, weight, speed, time, temperature, humidity, sound levels, cost, members, ages, etc.