Asked by: Yifeng Kos
asked in category: General Last Updated: 3rd June, 2020

What is the meaning of quantitative data in statistics?

Quantitative data is data expressing a certain quantity, amount or range. Usually, there are measurement units associated with the data, e.g. metres, in the case of the height of a person. It makes sense to set boundary limits to such data, and it is also meaningful to apply arithmetic operations to the data.

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Beside this, what is quantitative data in statistics?

In statistics, quantitative data is numerical and acquired through counting or measuring and contrasted with qualitative data sets, which describe attributes of objects but do not contain numbers. There are a variety of ways that quantitative data arises in statistics. The number of cars in each row of a parking lot.

Also Know, what is quantitative data used for? Quantitative Research. Quantitative Research is used to quantify the problem by way of generating numerical data or data that can be transformed into usable statistics. It is used to quantify attitudes, opinions, behaviors, and other defined variables – and generalize results from a larger sample population.

Besides, what is quantitative data and examples?

Quantitative data is information about quantities; that is, information that can be measured and written down with numbers. Some examples of quantitative data are your height, your shoe size, and the length of your fingernails. (Quantitative.) The number of hairs on your knuckle. (Quantitative.)

What are two types of quantitative data?

There are two types of quantitative data, which is also referred to as numeric data: continuous and discrete. As a general rule, counts are discrete and measurements are continuous.

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