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When students are asked to list their age and the percentage of their college expenses that they pay for themselves, the type of data being collected is quantitative.
About quantitative data
The meaning of quantitative itself is based on the amount or quantity. So it can be concluded that quantitative data is information obtained from research results that are structured or patterned from a research so that it can be read more easily by researchers.
In addition, quantitative data is a type of research that presents information in the form of numbers or qualitative data is converted into a score (very good = 4, good = 3, not good = 2 and not good = 1).
Quantitative Data Types
In practice, quantitative data is divided into two types. The types of quantitative data are as follows:
1. Discrete or nominal data
Discrete data is data that can only be classified separately or formed into categories. In general, to get results from this data must be done by counting, for example in a class after being counted there are 50 students, consisting of 30 men and 20 women. In a group there are 100 LA people and 50 NY and others.
2. Continuum data
Furthermore, the type of quantitative data is a continuum. This data is a collection of information that varies and is based on levels and is obtained from measurement results. In general, the continuum is further divided into ordinal, interval, and ratio data.
Learn more about quantitative data https://brainly.com/question/14810759.
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