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. Qualitative C. Quantitative D. Mixed methods

Answer 1

The answer is D. mixed methods.

Explanation

In Science when you have large data-sets of a Food product then you have to provide its description, Quality and Quality. Here is example for each part as,

Description:

The scientist have to describe the features of Corn grown in different soils. Corn length could be variable in different soils depending upon the nutrient contents of them.

Quality:

For any food product quality is most important factor. Scientist have to explain about the quality of Corn grown in different soils because each soil have a different environment of seed growth.

Quantity:

Finally, the data for the quantity will explain that which soil was more suitable to obtain higher yield of corn.

Answer 2

B. Qualitative method that checks the content of data

Step-by-step explanation:

• As the scientist needs a large amount of the database to explore the how the corn crops grow in the different types of the soils then they should use the qualitative methods
• It helps to define the nature and amount of the soil type that is best for the cultivation of the crop.