Modeling With Exponential Functions V2
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Exponential & Logarithmic Functions
This example demonstrates how to use exponential function models to showcase exponential growth and decay phenomena. Key math concepts involved include the properties of exponential functions, fitting exponential models, and data processing. Construction highlights involve using GeoGebra commands and objects like Random, Sequence, Union, RandomElement, FitExp, FitGrowth to generate datasets, fit models, and visualize results. Suitable for high school and above mathematics education, helping students understand the application of exponential functions in real-world problems.
GeoGebra Commands & Parameters
Random(-8, 8) → mRandom(1, 8) → nSequence(i, i, 1, n - 1, 1) → ylistunderSequence(i, i, n + 1, 8, 1) → ylistoverSequence(i, i, -8, m - 1) → xlistleftSequence(i, i, m + 1, 8, 1) → xlistrightUnion(ylistunder, ylistover) → ylistmasterUnion(xlistleft, xlistright) → xlistmasterRandomElement(xlistmaster) → cRandomElement(ylistmaster) → dFitExp({A, B}) → fFitGrowth({A, B}) → g