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Destination

Destination
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2023-03-14 18:44
Probability & Statistics
In collections Wiederholung: absolute, relative & prozentuelle Häufigkeit
This GeoGebra example demonstrates how to use statistical charts to display the distribution of destinations. The core mathematical concepts involved include frequency statistics and data visualization. The construction points include using Shuffle, Sequence, Join commands to generate random data, and using Polygon, Element objects to draw statistical charts. It is suitable for middle school and high school statistics courses.

GeoGebra Commands & Parameters

  1. Shuffle(Shuffle[Sequence[i, i, 2, 10]]) → RowEis, {7, 5, 8, 6, 10, 3, 4, 2, 9}
  2. Sequence(RowEis(i), i, 1, 4) → ShowEis, {7, 5, 8, 6}
  3. Join({{"$\textsf{Wähle aus!}$"}, ListeEis}) → SelectIce
  4. Sequence(Random[1, 4], i, 1, 100) → IndexList, {3, 4, 1, 4, 1, 1, 2, 1, 2, 3, 4, 4, 2, 1, 2, 3, 3, 2, 3, 4, 4, 4, 3, 2, 3, 1, 2, 3, 1, 2, 1, 4, 2, 4, 3, 1, 3, 4, 3, 3, 3, 2, 1, 3, 4, 1, 1, 4, 3, 1, 2, 1, 4, 2, 1, 4, 3, 1, 4, 4, 2, 3, 2, 2, 1, 4, 4, 1, 3, 4, 2, 1, 2, 4, 1, 4, 3, 3, 2, 3, 4, 2, 1, 1, 4, 3, 3, 2, 4, 3, 3, 2, 2, 2, 2, 2, 2, 4, 1, 3}
  5. Max(ShowEis) → H1
  6. Max(Remove[ShowEis, {H1}]) → H2
  7. Max(Remove[ShowEis, {H1, H2}]) → H3
  8. Max(Remove[ShowEis, {H1, H2, H3}]) → H4
  9. Max(Remove[ShowEis, {H1, H2, H3, H4}]) → H5
  10. If(Index ≟ 1, H1, Index ≟ 2, H2, Index ≟ 3, H3, Index ≟ 4, H5) → Sol1
  11. Textfield(aInput) → InputBox1
  12. Textfield(bInput) → InputBox2
  13. Polygon(PtopLeftCornerFeedback, PtopRightCornerFeedback, PbottomRightCornerFeedback, PbottomLeftCornerFeedback) → Feedback5, ptopleftcornerfeedback, ptoprightcornerfeedback, pbottomrightcornerfeedback, pbottomleftcornerfeedback
  14. Shuffle(Sequence[Random[0, 10], i, 1, 100]) → randomNosForX, {3, 3, 4, 10, 2, 9, 9, 5, 0, 8, 9, 9, 9, 10, 0, 5, 5, 6, 0, 7, 6, 0, 6, 8, 5, 2, 3, 0, 2, 6, 1, 0, 8, 0, 3, 8, 7, 3, 10, 8, 3, 3, 4, 7, 4, 2, 10, 3, 10, 3, 1, 7, 4, 3, 1, 0, 1, 8, 6, 8, 4, 6, 5, 4, 0, 5, 7, 10, 9, 7, 5, 8, 8, 7, 4, 10, 1, 6, 10, 6, 4, 2, 1, 2, 3, 3, 7, 7, 1, 5, 7, 10, 10, 1, 10, 9, 0, 2, 3, 1}
  15. Element(randomNosForX, Mod[questionCount, 100] + 1) → numX
  16. Shuffle(Sequence[Random[0, 10], i, 1, 100]) → randomNosForY, {2, 2, 9, 4, 6, 4, 7, 5, 10, 4, 4, 4, 4, 4, 1, 4, 4, 1, 7, 3, 3, 9, 2, 7, 4, 0, 6, 8, 1, 9, 6, 9, 8, 5, 0, 0, 5, 8, 1, 8, 7, 10, 6, 7, 6, 3, 1, 4, 6, 4, 10, 5, 6, 3, 7, 8, 1, 4, 4, 9, 4, 7, 3, 8, 3, 8, 3, 0, 2, 3, 7, 10, 1, 1, 7, 6, 5, 9, 7, 8, 2, 9, 0, 7, 0, 2, 3, 5, 4, 8, 5, 9, 10, 5, 2, 5, 2, 7, 7, 9}
  17. Element(randomNosForY, Mod[questionCount, 100] + 1) → numY
  18. Append(true, Sequence[If[randomNosForX(i) ≟ randomNosForX(i - 1), false, true], i, 2, 100]) → stayX
  19. Append(true, Sequence[If[randomNosForY(i) ≟ randomNosForY(i - 1), false, true], i, 2, 100]) → stayY
  20. Remove(Sequence[If[stayX(i), randomNosForX(i), 0], i, 1, 100], Sequence[0, i, 1, 100]) → randomNosForXwithoutRepeat
  21. Remove(Sequence[If[stayY(i), randomNosForY(i), 0], i, 1, 100], Sequence[0, i, 1, 100]) → randomNosForYwithoutRepeat
  22. Element(randomNosForXwithoutRepeat, Mod[questionCount, Length[randomNosForXwithoutRepeat]] + 1) → numXwithoutRepeat
  23. Element(randomNosForYwithoutRepeat, Mod[questionCount, Length[randomNosForYwithoutRepeat]] + 1) → numYwithoutRepeat
  24. Sequence(Random[30, 45], i, 1, 30) → l1, {32, 31, 32, 40, 35, 30, 41, 43, 30, 44, 30, 43, 42, 37, 35, 34, 34, 36, 38, 34, 38, 38, 31, 39, 32, 38, 43, 30, 39, 34}
  25. Polygon(A, B, C, D) → v1, a, b, c, d
  26. Defined(((((aInput * bInput) * cInput) * dInput) * eInput)) → fixed
  27. Textfield(cInput) → InputBox3
  28. Textfield(dInput) → InputBox4
  29. Textfield(eInput) → InputBox5
  30. Sequence(Pos1 + (i * (dx, 0)), i, 0, 3) → InputPos
  31. Polygon(CornerFeedback, CornerFeedback + (length, 0), CornerFeedback + (length, height), CornerFeedback + (0, height)) → Feedback1, cornerfeedback, g, h, i
  32. Translate(Feedback1, (dx, 0)) → Feedback2
  33. Translate(Feedback2, (dx, 0)) → Feedback3
  34. Translate(Feedback3, (dx, 0)) → Feedback4

AI Drawing Prompt Reference

Create a statistical chart to display the distribution of destinations. First, generate a set of random data, then use this data to draw a bar chart showing the frequency of each destination. Utilize random number generators and data processing commands to ensure accurate frequency statistics. Finally, draw the bar chart with the height of each bar representing the frequency of a destination.
The prompt above was compiled from the original drawing commands and is for reference only.