In a study, the data you collect is habits on an always/sometimes/never scale. this data is <u>quantitative</u>.
Quantitative data is information expressing a sure amount, quantity, or variety. normally, there are dimension devices related to the records, e.g. meters, in the case of the peak of a person. It makes feel to set boundary limits to such information, and it is also meant to use mathematics operations in the records.
Quantitative data is facts that may be counted or measured in numerical values. the two predominant forms of quantitative records are discrete information and non-stop facts. the peak in feet, age in years, and weight in pounds are examples of quantitative data.
Learn more about data here: brainly.com/question/24492737
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True, when analyzing data measured by a continuous quantitative variable, the statistical tests of estimation and contrast frequently used are based on supposing that a random sample has been obtained from a probability distribution of normal type, but in many cases this assumption is not valid, in these cases we have two possible mechanisms: The data can be transformed in such a way that they follow a normal distribution or you can resort to parametric or non-parametric tests.
