Descriptive Statistics Lab
Applied Biostatistics & Data Analytics for Pharmaceutical Sciences (BP201T) · Semester 2 · Unit 1: Descriptive Statistics
Change centre, spread, and an outlier to inspect mean, median, standard deviation, distribution shape, and careful pharmaceutical-data interpretation.
What this unit covers
Classify fictional pharmaceutical data as nominal, ordinal, interval, or ratio; then compare centre, spread, and distribution shape. NumPy and Pandas support transparent calculations, but interpretation still depends on the data source and design.
Apply it
Compare mean, median, range, and standard deviation after adding an outlying simulated QC result, then state what skewness could change.
How this lab works
A visible browser-native teaching interaction updates illustrative states, scores, or visual summaries from authored values.
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.