In scientific projects, and, more specifically, in reports regarding those projects, it is important to quantify your data so that there is no subjectivity possible of the view. For example, one mile is one mile no matter what, whereas "cold" could be any amount of degrees, or "sweet taste," which, due to the difference in human taste buds, could very well taste slightly bitter to another person. Basically, it is important to quantify data to eliminate subjectivity.
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How much there is or how many there are of something that you can quantify.
They will learn to identify and quantify the specific uncertainties that threaten success.
People study statistics because they need to quantify external events, summarize experiment or research results, make data comparisons, and establish correlations between dependent events. There are many more uses of statistics, and they are important in different fields of study and specialties. bye M.M.M (maleele)
Consistency of data collection.
Examination of collected data is important because, if you examine it you could check if something's wrong or another test or collection and compare the data you have to the test or collection you just did.