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 locations, effectively narrowing down the data to meet their specific interest. This action ensures that only relevant data is displayed, thus enhancing the quality and relevance of the information accessed.

A (Filter out area urban) YOUR ANSWER

This choice incorrectly suggests filtering out urban areas, which would eliminate the very data the student is interested in. Instead of narrowing the scope to relevant urban literacy rates, it would result in an incomplete dataset that does not serve the student's purpose.

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

Sorting the data by area does not filter out unwanted information; it merely organizes the data without excluding rural areas. This action does not reduce the dataset to only urban literacy rates, which is what the student needs to focus on.

C (Sort by literacy rate) YOUR ANSWER

Sorting by literacy rate organizes the data based on the rates themselves but does not eliminate the rural areas from the dataset. The student remains with unwanted data, making this option ineffective for narrowing down to just urban literacy rates.

Conclusion

To effectively narrow the data scope to only urban literacy rates, the appropriate action is to filter out rural areas. This ensures that the dataset exclusively contains relevant urban information, allowing the student to focus on their specific research interest without distraction from unrelated rural data. Filtering is essential in data management for targeted analysis, especially in large databases.

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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