Sometimes survey researchers reject randomness and instead use weighting techniques to construct a sample. How is a weighted sample different from a random one?

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A weighted sample is different from a random one as it is constructed by assigning different weights to different sampled data points. These weights are assigned based on specific characteristics of the population that researchers want to control for in their analysis. This allows the weighted sample to more closely resemble the larger population in terms of these specific characteristics, making it more representative and thus providing more accurate results.

Sometimes Survey Researchers Reject Randomness and Instead Use Weighting Techniques