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

Option C, Qualitative

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.  

1) gene flow

- it is described as the transfer of genes from one population to another population so that frequency of gene is increased.

-a zebra migrates to join a different herd of zebras.

2) natural selection

- a mechanism of evolutionary change in which individuals with advantageous traits survive and reproduce whereas the others ( those that can not adapt) eliminate from the population.

-competition for sunlight leads to taller trees.

3) mutation

- permanent change in the nucleotide sequence of dna ( genetic material) that could have harmful or useful consequences.

-the dna of a snake changes to make its venom stronger.

4) genetic drift - it is a random phenomenon ( that occurs by chance such as fire) that results in change in the gene frequency in a small population.    

-a grassfire randomly sweeps through a population of buffalo and kills most of the animals.

explanation:

sorry, is there a picture? i do not see any arrows.

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