Sampling & Inference Lab
Applied Biostatistics & Data Analytics for Pharmaceutical Sciences (BP201T) · Semester 2 · Unit 3: Sampling & Statistical Inference
Explore fictional samples, confidence intervals, hypothesis testing, Type I/II error language, p-values, and a visible rejection-region concept.
What this unit covers
Separate population from sample, name a sampling error or bias risk, use the Central Limit Theorem conceptually, and interpret confidence intervals, hypotheses, Type I/II errors, p-values, and significance with pharmaceutical context.
Apply it
Compare fictional dissolution samples, then report the p-value together with the confidence interval, an assumption, and one design limitation.
How this lab works
A transparent teaching calculation exposes p-value, confidence-interval, and alpha assumptions.
Data used
Fictional or browser-generated teaching inputs; no patient, proprietary manufacturing, or clinical-record data.
Limits
Educational simulation only. Outputs are not clinical advice, patient-specific predictions, release specifications, regulatory decisions, or professional competency evidence.