Definition For Quantitative Data

There are a variety of ways that quantitative data arises in statistics.

Definition for quantitative data. Quantitative data represents the measure of values or counts expressed as numbers. Quantitative data defines whereas qualitative data describes. Qualitative data describes while quantitative data is expressed using numbers. Dirkcuys there are two types of data.

Quantitative data is any information that can be reduced to a set of numbers. It gathers and assesses information about numeric variables. Counted called discrete data or measured called continuous data. In math lingo this is called continuous data.

Any information from which you can create averages differences or totals is quantitative data. Quantitative data is numerical information that can be measured or counted. Qualitative data is descriptive information about characteristics that are difficult to define or measure or cannot be expressed numerically. Each of the following is an example of quantitative data.

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. Its purpose is to explain predict and or control outcomes through focused collection of numerical data. Data that can be quantified and verified and is amenable to statistical manipulation. Quantitative data is objective focused and outcome oriented.

It makes sense to set boundary limits to such data and it is also meaningful to apply arithmetic operations to the data. Usually there are measurement units associated with the data e g. Quantitative data is defined as the value of data in the form of counts or numbers where each data set has an unique numerical value associated with it. Quantitative data is also data that you can measure.