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

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: 21

step-by-step explanation:

divide 630 by 30. 30 goes into 630 21 times

try using substitution:

x + y - 6 = x - y. (i'm not giving you the exact answer). since 0 = x - y, then sub 0 in the equation with x - y. combine your like terms, and then use inverse operations, and you'll have your answer.

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