About this Simulation

This interactive Gaussian distribution simulator enables students to explore the properties of normal distributions by visualising bell curves and adjusting key parameters in real time. Learners can manipulate mean, standard deviation, and sample size to observe how these variables affect the shape and position of the distribution curve, building intuitive understanding of probability concepts.

Learning objectives: Understand how mean and standard deviation shape a Gaussian distribution | Visualise the relationship between parameters and probability density | Apply normal distribution concepts to real-world data analysis