Due 5/5/19 9 p.m EST
ORIGINAL AND ON TIME WORK!
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DATA AND STEP BY STEP GUIDE ATTACHED
Most CDC datasets include the following disclaimer:
“The use of sampling weights and sample design variables is recommended for all analyses because the sample design is a clustered design and incorporates differential probabilities of selection. If you fail to account for the sampling parameters, you may obtain biased estimates and overstate significance levels.”
In other words, samples selected for surveys may have imperfections in their representation of the reference population. Imperfections include the selection of sampling unit with unequal probability, non-coverage of the population, and non-responses to survey questions. Sampling weights would be used to compensate for these imperfections and produce valid and reliable results.
For this Assignment, you analyze the relationship of two variables with logistic regression, using both weighted and unweighted data. You then compare the results to identify the effect of weighting on the interpretation of the relationship.
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