Simulation Lab
Statistics Simulation Lab
Interactive simulations that help learners see statistical ideas in action. Explore probability, regression, distributions, sampling, and related concepts through visual experimentation.
Simulation Modules
Use these modules for demonstration, experimentation, biostatistics classes, and self-study.
01 Central Limit Theorem
Explore how sample means begin to form a predictable distribution as sample size increases.
02 Descriptive Statistics
Visualize summaries such as center, spread, and distribution shape.
03 Hypothesis Testing
Practice hypothesis testing, p-values, and statistical decisions.
04 Linear Regression
Understand fitted lines, residuals, prediction, and linear relationships.
05 Generalised Linear Models
Experiment with model families and link functions for applied public-health data.
06 Mixed Effect Models
Learn how clustered or hierarchical data can be modeled.
07 Principal Component Analysis
Explore dimension reduction and pattern recognition in complex datasets.
08 Time Series Analysis
Explore trend, seasonality, forecasting, surveillance, and monitoring ideas.
09 Imputation Learning Tool
Explore missing-data mechanisms, compare imputation strategies, and see how imputed values affect downstream summaries.