Normal Distribution by Malin Christersson (2)
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Adjust sliders to observe changes in the normal distribution curve. This example demonstrates key concepts of normal distribution, including the impact of mean μ and standard deviation σ. It uses GeoGebra functions to plot the normal distribution curve, suitable for statistics and probability studies.
GeoGebra Commands & Parameters
Numeric σ(4.0)Numeric μ(5.0)Numeric e(2.718281828459045)f(x) = (1 / ((σ * sqrt((2 * π)))) * e^(((-(x - μ)^(2))) / ((2 * σ^(2)))))ϕ(x) = (1 / sqrt((2 * π)) * e^(((-x^(2))) / 2))
AI Drawing Prompt Reference
Draw a normal distribution curve with two sliders to control the mean and standard deviation, showing the effect of mean and standard deviation on the curve shape. First, plot the basic curve, then add the sliders, and observe the curve changes by dynamically adjusting the sliders.
The prompt above was compiled from the original drawing commands and is for reference only.