Quantitative data that can be measured exactly is referred to as "discrete data." This type of data consists of distinct or separate values, often represented by whole numbers, such as the number of students in a classroom or the number of cars in a parking lot. In contrast, continuous data can take any value within a given range and can be measured with greater precision, such as height or weight.
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.
The word for data that can be measured is "quantitative." Quantitative data is expressed in numerical form and can be analyzed statistically, allowing for comparisons and assessments of relationships. Examples include measurements such as height, weight, temperature, and time.
data or information that is measured numerically rather than qualitatively.
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.
The word for data that can be measured is "quantitative." Quantitative data is expressed in numerical form and can be analyzed statistically, allowing for comparisons and assessments of relationships. Examples include measurements such as height, weight, temperature, and time.
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?