Question

question 3 1 pts which data collection technique is useful for large datasets? sampling interviewing direct observation process mapping

Explanation:

Sampling is a data - collection technique where a subset (sample) of a large dataset is selected. It is useful for large datasets as it reduces the amount of data to be analyzed while still providing insights that can be generalized to the whole dataset. Interviewing is more time - consuming and may not be feasible for large datasets. Direct observation is also impractical for large datasets as it requires observing each data point. Process mapping is more about documenting processes rather than collecting data from large datasets.

Answer:

Sampling