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Normal Distribution by Ying Lin

Normal Distribution by Ying Lin
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2016-01-14 06:52
FunctionCalculusProbability & Statistics
This example demonstrates the normal distribution probability density function. The normal distribution is a crucial concept in probability and statistics, describing the distribution of many natural and artificial processes. Using GeoGebra commands like Normal, RandomNormal, and Integral, users can dynamically adjust the mean and standard deviation to observe changes in the distribution curve. Suitable for high school and above students and teachers for teaching and research.

GeoGebra Commands & Parameters

  1. Integral(q, mean - (5 * stdev), mean + (5 * stdev)) → a
  2. Integral(q, mean - stdev, mean + stdev) → b
  3. Segment(A, μ) → c
  4. RandomUniform(-4, 4) → mu
  5. RandomUniform(0.2, 3) → sigma
  6. Normal(mu, sigma, x) → f
  7. RandomUniform(-4, 4) → mu1
  8. RandomUniform(0.1, 2) → sigma1
  9. Normal(mu1, sigma1, x) → g
  10. RandomNormal(0, 1) → mu2
  11. RandomNormal(0, 2) → sigma2
  12. Normal(mu2, sigma2, x) → h