A college student is accessing a large database that contains literacy rates and geographical locations classified as urban or rural. The student is only interested in literacy rates of urban areas. Which action should the student use to narrow the data scope?

Rationale

Filter out area, rural.

By filtering out rural areas, the student can focus exclusively on the literacy rates of urban areas, effectively narrowing the data scope to the relevant information needed for their research.

A (Filter out area urban) YOUR ANSWER

This option suggests removing urban areas from the dataset, which would be counterproductive since the student is interested in the literacy rates specifically for urban locations. Instead of narrowing the data scope, this action would eliminate the very data the student seeks.

B (Sort by area, urban and rural) YOUR ANSWER

Sorting the data by area does not effectively narrow the scope; it merely reorganizes the existing data into a different order. The student needs to filter the data to isolate urban literacy rates, rather than sorting it, which would still include unwanted rural data.

C (Sort by literacy rate) YOUR ANSWER

Sorting by literacy rate would arrange all data based on the rates themselves but would not limit the dataset to urban areas only. This approach is ineffective for the student's specific need, as it does not address the geographical categorization of the data.

D (Filter out area, rural) CORRECT

This action directly addresses the student’s goal by eliminating all data related to rural areas, thus allowing the student to access only the literacy rates associated with urban locations. This focused filtering provides the necessary context for the research.

Conclusion

To effectively narrow down a large database to relevant information, filtering is the optimal approach. In this case, filtering out rural areas enables the student to concentrate solely on urban literacy rates, ensuring the data is both manageable and pertinent to their study. Other options, such as sorting, do not achieve the necessary focus required for the student's research objectives.

A college student is accessing a large database that contains literacy rates and geographical locations classified as urban or rural. The student is only interested in literacy rates of urban areas. Which action should the student use to narrow the data scope?

Filter out area, rural.

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