Q: Because segments are applied before sampling, segmented data will not be sampled.
A) True
B) False
Correct Answer is B) False.
Explanation:
Segmentation is a process of dividing a large data set into smaller, more manageable subgroups based on specific criteria. In analytics, segmentation is typically performed prior to sampling, which is the process of selecting a subset of data from a larger data set.
Since segments are created before sampling, the segmented data will not be sampled again. This is because each segment represents a subgroup of the original data set, and the segments themselves have already been reduced in size from the original data set. Sampling the segmented data would result in even smaller, less representative subgroups, which would likely not accurately reflect the original data set.
Therefore, it is important to carefully consider the segmentation criteria and the size of each segment before performing any sampling, as the results of the analysis will depend on the quality and representativeness of the segmented data.