Comparing survey weights of different designs
Remember that an observation's survey weight tells us how many population units that observation represents. The weights are constructed based on the sampling design. Let's compare the weights for the three samples of the api dataset. For example, in simple random sampling, each unit has an equal chance of being sampled, so each observation gets an equal survey weight. Whereas, for stratified and cluster sampling, units have an unequal chance of being sampled and that is reflected in the survey weight.
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Analyzing Survey Data in R
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# Construct histogram of pw
ggplot(data = ___,
mapping = aes(x = ___)) +
___()