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Sampling error is related to confidence intervals. If two samples are identical except one is much larger, the larger one will have a smaller sampling error and narrower confidence intervals. Likewise, if two samples are identical except that the cases in one are more similar to each other, the one with greater homogeneity will have a smaller sampling error and narrower confidence intervals. A narrow confidence interval means that we are able to estimate more precisely the population parameter for a given level of confidence.
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