Guest Session: 1 Question Remaining. Create Account to save progress.
Login
Data Collectionhard
0:00.0

In a stratified cluster sample, researchers construct a 95% confidence interval for the population mean using simple percentile bootstrap (resampling with replacement from the overall sample). However, the resulting 95% CI achieves only ~88% actual coverage.

Which explains this shortfall?

A) The percentile bootstrap ignores design structure (strata/clusters), understating true design variance
B) Percentile bootstrap is invalid for surveys with clustering
C) The sample size is below the n ≥ 500 threshold required for bootstrap validity
D) Resampling without stratification violates the survey design constraints

Which are correct?