Question

If a scientist needs to use a large dataset to explore how corn grows in different soils, how would this data be classified? 

A. Descriptive  B. Quantitative  C. Qualitative  D. Mixed methods​

Answer 1

Quantitative.

Step-by-step explanation:

The scientist would take small samples from each soil sample and would predict that the growth stays relative throughout. Therefore the scientist is not getting an exact measurement.

Answer 2

Option C, Qualitative

Step-by-step explanation:

A qualitative data set consists of description of processes. These process may include measures to do something, ways to conduct some task or even impact of several factors on something.

Here, in this case scientist is dealing with a data set that talks about methods/ways/techniques to grow corns in different soil which is purely a subjective data base consisting of procedures defining the cultivation of corn in different soil types. Hence option C is the correct answer.