Card Distribution for Probability
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This example demonstrates a probability model of random card distribution. It involves core math concepts like probability calculation, combinatorics, and random events. GeoGebra commands and objects used in the construction summary include Sequence (sequence generation), Element (element selection), KeepIf (conditional filtering), Mod (modular operation), Sum (summation), Vector (vector operations), and Translate (translation transformation). Suitable for high school probability & statistics teaching or introductory mathematical modeling.
GeoGebra Commands & Parameters
Sequence(Random[1, 52 - k], k, 0, n - 1) → liste1Sequence(k, k, 1, 52) → liste2Element(liste1, 1) → carte1KeepIf(x ≠ carte1, liste2) → liste3Element(liste3, Element[liste1, 2]) → carte2KeepIf(x ≠ carte2, liste3) → liste4Element(liste4, Element[liste1, 3]) → carte3KeepIf(x ≠ carte3, liste4) → liste5Element(liste5, Element[liste1, 4]) → carte4Mod(carte1, 13) → A1Mod(carte2, 13) → B1Mod(carte3, 13) → C1Mod(carte4, 13) → D1Sum(B3:B8) → B9Element(cartes, carte1) → Cart1Vector(A, B) → uTranslate(Element[cartes, carte2], u) → Cart2Translate(Element[cartes, carte3], Vector[2 * u]) → Cart3Translate(Element[cartes, carte4], Vector[3 * u]) → Cart4KeepIf(x ≠ carte4, liste5) → liste6Element(liste6, Element[liste1, 5]) → carte5Translate(Element[cartes, carte5], Vector[4 * u]) → Cart5Mod(carte5, 13) → E1Sum(F3:F12) → F13
AI Drawing Prompt Reference
Illustrate a probability model of random card distribution with four cards, showing their positions and relationships. Map card values to 1-13 using modular operation, and use vector translation to display the position changes of each card sequentially, finally summarizing the total values of all cards.
The prompt above was compiled from the original drawing commands and is for reference only.