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Standard Deviation and Distribution Visualization by David Wees (2)

Standard Deviation and Distribution Visualization by David Wees (2)
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2018-05-12 04:27
FunctionSequenceProbability & Statistics
This example visualizes standard deviation and distribution. It involves core concepts in probability and statistics, using GeoGebra commands such as Segment, Point, Line, Frequency, etc., to illustrate how data distribution can be understood through standard deviation. Suitable for high school and above students or teachers to better understand the basic principles of probability and statistics.

GeoGebra Commands & Parameters

  1. Segment((0, 0), (9, 0)) → g
  2. Point(g) → M
  3. Point(g) → Q
  4. Point(g) → N
  5. Point(g) → L
  6. Point(g) → K
  7. Point(g) → P
  8. Point(g) → C
  9. Point(g) → D
  10. Point(g) → E
  11. Point(g) → F
  12. Point(g) → G
  13. Point(g) → H
  14. Point(g) → I
  15. Point(g) → J
  16. Point(g) → R
  17. Point(g) → O
  18. Line(A, B) → f
  19. Frequency(list4, list1) → list5
  20. Segment((-0.5, 0), (9.5, 0)) → i
  21. Mode(list1) → list3
  22. Mode(list1) → list6
  23. Sequence(Sequence[Polygon[(n - 0.5, 0), (n - 0.5, k), (n + 0.5, k), (n + 0.5, 0)], k, 1, Element[list5, n + 1], 1], n, 0, 9, 1) → list2
  24. SD(list1) → b
  25. Point(h) → S
  26. Intersect(h, i) → T
  27. Point(h) → U
  28. Line(V, W) → p
  29. Intersect(l, p) → A_1
  30. Intersect(j, p) → B_1
  31. Intersect(h, p) → D_1
  32. Segment(D_1, B_1) → q
  33. Segment(D_1, A_1) → r
  34. Intersect(m, s) → Z
  35. Intersect(h, s) → C_1
  36. Intersect(k, s) → E_1
  37. Segment(C_1, Z) → t
  38. Segment(C_1, E_1) → a
  39. Ray(T, U) → n