Tests for Paired Samples: Before and After Analysis
Students frequently misapply the two-sample independent -test, failing to recognize that the data are dependent. By treating paired data as independent, one ignores the covariance between pre- and post-measurements, which typically leads to an inflated variance estimate and a significant loss of statistical power.
Institutional Reference: Statistical Inference I
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