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Adjustable Histogram

Adjustable Histogram
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2020-06-15 01:40
FunctionProbability & StatisticsGeometric ConstructionGraphing
This example demonstrates the use of Geogebra's inbuilt Histogram tool to create an adjustable histogram from 50 data points sampled from a Normal distribution. It covers core concepts in Probability & Statistics, Normal distribution, and data analysis. Key GeoGebra commands and objects used include Point, RandomNormal, Ray, Sort, Histogram, and BoxPlot. Suitable for high school and above students learning data distribution and statistical visualization.

GeoGebra Commands & Parameters

  1. Point(xAxis) → P_1
  2. Point(xAxis) → P_4
  3. Point(xAxis) → P_2
  4. Point(xAxis) → P_5
  5. Point(xAxis) → P_3
  6. RandomNormal(10, 2) → A1
  7. RandomNormal(10, 2) → A2
  8. RandomNormal(10, 2) → A3
  9. RandomNormal(10, 2) → A4
  10. RandomNormal(10, 2) → A5
  11. RandomNormal(10, 2) → A6
  12. RandomNormal(10, 2) → A7
  13. RandomNormal(10, 2) → A8
  14. RandomNormal(10, 2) → A9
  15. RandomNormal(10, 2) → A10
  16. RandomNormal(10, 2) → A11
  17. RandomNormal(10, 2) → A12
  18. RandomNormal(10, 2) → A13
  19. RandomNormal(10, 2) → A14
  20. RandomNormal(10, 2) → A15
  21. RandomNormal(10, 2) → A16
  22. RandomNormal(10, 2) → A17
  23. RandomNormal(10, 2) → A18
  24. RandomNormal(10, 2) → A19
  25. RandomNormal(10, 2) → A20
  26. RandomNormal(10, 2) → A21
  27. RandomNormal(10, 2) → A22
  28. RandomNormal(10, 2) → A23
  29. RandomNormal(10, 2) → A24
  30. RandomNormal(10, 2) → A25
  31. RandomNormal(10, 2) → A26
  32. RandomNormal(10, 2) → A27
  33. RandomNormal(10, 2) → A28
  34. RandomNormal(10, 2) → A29
  35. RandomNormal(10, 2) → A30
  36. RandomNormal(10, 2) → A31
  37. RandomNormal(10, 2) → A32
  38. RandomNormal(10, 2) → A33
  39. RandomNormal(10, 2) → A34
  40. RandomNormal(10, 2) → A35
  41. RandomNormal(10, 2) → A36
  42. RandomNormal(10, 2) → A37
  43. RandomNormal(10, 2) → A38
  44. RandomNormal(10, 2) → A39
  45. RandomNormal(10, 2) → A40
  46. RandomNormal(10, 2) → A41
  47. RandomNormal(10, 2) → A42
  48. RandomNormal(10, 2) → A43
  49. RandomNormal(10, 2) → A45
  50. RandomNormal(10, 2) → A46
  51. RandomNormal(10, 2) → A47
  52. RandomNormal(10, 2) → A48
  53. RandomNormal(10, 2) → A49
  54. RandomNormal(10, 2) → A50
  55. RandomNormal(10, 2) → A44
  56. Ray(Left, Left_1) → leftray
  57. Ray(Right, Right_1) → rightray
  58. Point(leftray) → P_0
  59. Point(rightray) → P_6
  60. Sort(Sequence[x(Element[Points, i + 1]), i, 0, 6]) → Boundaries
  61. Histogram(Boundaries, A1:A50) → histogram
  62. BoxPlot(14, 0.5, A1:A50) → boxplot

AI Drawing Prompt Reference

Create an adjustable histogram based on 50 data points randomly sampled from a normal distribution. First, create 5 points on the x-axis named P1 to P5. Then, generate 50 random numbers from a normal distribution named A1 to A50. Use these random numbers to create a histogram and ensure the histogram is adjustable.
The prompt above was compiled from the original drawing commands and is for reference only.