01. Concept Review
Before entering the lab, review the fundamental differences between these two core statistical concepts.
Type: Discrete (Whole numbers only).
Scenario: Used when counting "successes" in a fixed number of independent trials (e.g., flipping a coin 10 times).
Key Parameters: n (number of trials) and p (probability of success).
Type: Continuous (Fluid, smooth data).
Scenario: The famous "Bell Curve." Nature loves this distribution (heights, test scores, errors).
Key Parameters: μ (Mean/Center) and σ (Standard Deviation/Spread).
The Magic: Even if data starts as Binomial (discrete), if you have a large enough sample size (n), the graph will smooth out and begin to look exactly like a Normal Distribution.
02. Convergence Lab
Use the sliders below to adjust the parameters of a Binomial experiment. Observe how the discrete bars (Binomial) align with the smooth bell curve (Normal approximation) as N increases.