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Chapter 11 — Chapter 11 — Biostatistics
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📘Easy summary
Biostatistics is a branch of statistics that applies statistical methods to biological sciences. It is essential for designing biological experiments, clinical trials and epidemiological studies.
⭐Key points
- Designing experiments: e.g. sample size for a drug trial.
- Analysing biological data: trends, correlations, patterns (plant growth vs light/water).
- Interpreting results: disease survey guides health interventions.
- Predicting outcomes: models of infectious disease spread.
- Public health and policy: COVID-19 data → vaccination campaigns.
- Examples: epidemiology, genetics, agriculture (wheat yields), clinical trials (drug vs placebo).
🔬Diagram
🌿Real-life example
Comparing yields of different wheat varieties uses biostatistics.
💡Exam tip
- MCQ 1: apply statistical methods to biological sciences.
✅Quick check
1. Predicting spread of disease to plan vaccination is:
2. Testing a new drug against a placebo is a:
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