Final answer:
Data extraction is the suitable feature for obtaining information from a database to use in a spreadsheet. Part e discussing the 'shape of the data' is related to data analysis rather than the process of extraction. The appropriate measure of center for data, whether mean, median, or mode, depends on the data's shape and distribution. The correct answer is c) Data extraction.
Step-by-step explanation:
To gather specific information from a database, manipulate data in a spreadsheet, and save it in a format for another application, the most suitable database feature is c) Data extraction. This process involves retrieving data from a database or other sources for further data processing or analysis.
Features like data mining might be involved to find patterns and relationships in large datasets, but data extraction is directly related to the act of obtaining raw data for various purposes.
Part e of your question may refer to examining the shape of a dataset. This is a statistical term, which isn't directly related to data extraction, but to data analysis. When examining the shape of a dataset, options a and c are not comparable since they represent different steps in data handling. To examine the shape, you would typically visualize the data distribution.
As for part f, the most appropriate measure of center for a given dataset depends on the shape of the data and whether the data is skewed or symmetric.
Median is more appropriate for skewed data as it is not affected by extreme values (outliers), while the mean can be used for symmetric distributions without outliers. The mode is typically used when dealing with categorical data.