Explore the Normal Distribution
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This example dynamically illustrates the characteristics of the normal distribution, a key concept in probability and statistics. By adjusting the mean μ and standard deviation σ, you can observe changes in the normal distribution curve. Commands used include Normal, RandomNormal, Segment, OrthogonalLine, and Intersect. Suitable for high school and above students learning probability and data analysis.
GeoGebra Commands & Parameters
Normal(μ, σ, x, false) → fRandomNormal(σ, μ) → A1RandomNormal(σ, μ) → A2RandomNormal(σ, μ) → A3RandomNormal(σ, μ) → A4RandomNormal(σ, μ) → A5RandomNormal(σ, μ) → A6RandomNormal(σ, μ) → A7RandomNormal(σ, μ) → A8RandomNormal(σ, μ) → A9RandomNormal(σ, μ) → A10RandomNormal(σ, μ) → A11RandomNormal(σ, μ) → A12RandomNormal(σ, μ) → A13RandomNormal(σ, μ) → A14RandomNormal(σ, μ) → A15RandomNormal(σ, μ) → A16RandomNormal(σ, μ) → A17RandomNormal(σ, μ) → A18RandomNormal(σ, μ) → A19RandomNormal(σ, μ) → A20RandomNormal(σ, μ) → A21RandomNormal(σ, μ) → A22RandomNormal(σ, μ) → A23RandomNormal(σ, μ) → A24RandomNormal(σ, μ) → A25RandomNormal(σ, μ) → A26RandomNormal(σ, μ) → A27RandomNormal(σ, μ) → A28RandomNormal(σ, μ) → A29RandomNormal(σ, μ) → A30RandomNormal(σ, μ) → A31RandomNormal(σ, μ) → A32RandomNormal(σ, μ) → A33RandomNormal(σ, μ) → A34RandomNormal(σ, μ) → A35RandomNormal(σ, μ) → A36RandomNormal(σ, μ) → A37RandomNormal(σ, μ) → A38RandomNormal(σ, μ) → A39RandomNormal(σ, μ) → A40RandomNormal(σ, μ) → A41RandomNormal(σ, μ) → A42RandomNormal(σ, μ) → A43RandomNormal(σ, μ) → A44RandomNormal(σ, μ) → A45RandomNormal(σ, μ) → A46RandomNormal(σ, μ) → A47RandomNormal(σ, μ) → A48RandomNormal(σ, μ) → A49RandomNormal(σ, μ) → A50RandomNormal(σ, μ) → A51RandomNormal(σ, μ) → A52RandomNormal(σ, μ) → A53RandomNormal(σ, μ) → A54RandomNormal(σ, μ) → A55RandomNormal(σ, μ) → A56RandomNormal(σ, μ) → A57RandomNormal(σ, μ) → A58RandomNormal(σ, μ) → A59RandomNormal(σ, μ) → A60RandomNormal(σ, μ) → A61RandomNormal(σ, μ) → A62RandomNormal(σ, μ) → A63RandomNormal(σ, μ) → A64RandomNormal(σ, μ) → A65RandomNormal(σ, μ) → A66RandomNormal(σ, μ) → A67RandomNormal(σ, μ) → A68RandomNormal(σ, μ) → A69RandomNormal(σ, μ) → A70RandomNormal(σ, μ) → A71RandomNormal(σ, μ) → A72RandomNormal(σ, μ) → A73RandomNormal(σ, μ) → A74RandomNormal(σ, μ) → A75RandomNormal(σ, μ) → A76RandomNormal(σ, μ) → A77RandomNormal(σ, μ) → A78RandomNormal(σ, μ) → A79RandomNormal(σ, μ) → A80RandomNormal(σ, μ) → A81RandomNormal(σ, μ) → A82RandomNormal(σ, μ) → A83RandomNormal(σ, μ) → A84RandomNormal(σ, μ) → A85RandomNormal(σ, μ) → A86RandomNormal(σ, μ) → A87RandomNormal(σ, μ) → A88RandomNormal(σ, μ) → A89RandomNormal(σ, μ) → A90RandomNormal(σ, μ) → A91RandomNormal(σ, μ) → A92RandomNormal(σ, μ) → A93RandomNormal(σ, μ) → A94RandomNormal(σ, μ) → A95RandomNormal(σ, μ) → A96RandomNormal(σ, μ) → A97RandomNormal(σ, μ) → A98RandomNormal(σ, μ) → A99RandomNormal(σ, μ) → A100Segment(A, B) → gOrthogonalLine(C, g) → hIntersect(h, g) → DSegment(D, C) → i