定量频数分布构建步骤

定量频数分布构建步骤
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2014-03-18 05:23
本范例演示了创建定量频数分布的过程。学生可以选择不同的数据集,通过一系列步骤来构建频数分布表。该范例涉及统计学中的核心概念,如数据分组、频数计算等。通过使用GeoGebra命令如Mod、Sequence、CountIf等,可以动态地展示频数分布的构建过程。适合统计学入门学习者使用。

GeoGebra 命令及参数

  1. Mod(seed, 3) → ACDT
  2. Sequence(RandomPoisson[seed], k, 1, size) → L0
  3. Sequence((Element[L0, k] * 10^((-ACDT))), k, 1, size) → L1
  4. Min(L1) → Min1
  5. Max(L1) → Mx1
  6. If(CWC1 ≤ UB, CWC1, If[CWC2 ≤ UB, CWC2, If[CWC3 ≤ UB, CWC3, CWC4]]) → CW0
  7. Sequence(k, k, Min1, Min1 + ((classes - 1) * CW0), CW0) → LCL
  8. Sequence(Element[L1, k], k, 1, size1) → L2
  9. Sequence(Element[LCL, k], k, 1, classes - 1) → LCL0
  10. Sequence(i, i, Min1, Mx1, 10^((-ACDT))) → Domain
  11. Sort(Intersection[Domain, L1]) → Range
  12. CountIf(x < Mx1 + 1, Range) → RngCnt
  13. Sequence(CountIf[i ≤ x < i + CW0, L1], i, Min1, Mx2 - CW0, CW0) → FrqSq
  14. Max(FrqSq) → MxFrq
  15. Max(Sequence[If[floor((10^(k) * CW0)) / 10^(k) ≠ CW0, k + 1, 0], k, 0, 2]) → ACCW
  16. Max(ACDT, ACCW) → ACNw
  17. Sequence(" to ", k, 1, classes) → ToSq
  18. Sequence(If[k ≟ 1, " ", " + "], k, 1, classes) → Pls
  19. Append(Min1, LCL0) → LCLCnSq
  20. Sequence(" = ", k, 1, classes) → EqSq
  21. Element(LCL, 2) → LCL2
  22. Sequence(Element[L1, k], k, size1 + 1, size) → L3
  23. Polygon(FDUL, FDLL, FDLR, FDUR) → fdpoly, fdlf, fdbt, fdrt, fdtp
  24. Segment(DTML, DTMR) → dtmd
  25. Segment(DTLL, DTLR) → dtbt
  26. Segment(DTMR, DTUR) → dtrt
  27. Sequence(CW1, k, 1, classes - 1) → CWSq1
  28. Append(" ", CWSq1) → CWSq2
  29. Sequence(UCL1 + (k * CW1), k, 0, classes - 1) → UCL
  30. Append(UCL1, UCL) → UCLCn
  31. Sequence(Sequence[" | ", k, 1, Element[FrqSq, j]], j, 1, classes) → TlySq
  32. Segment(DTUL, DTUR) → dttp
  33. Sequence(Segment[(DTLf + (k * DTCW), DTBt), (DTLf + (k * DTCW), DTTp)], k, 0, floor(size / 2)) → Vlines
  34. Text("The table shows the percent unemployed for " + size + " different cities.") → DD1
  35. Text("The table shows numbers of bird feeders sold in " + size + " different months.") → DD0
  36. Text("The table shows proportions of students who earned C's in " + size + " different classes.") → DD2
  37. Element(DDSq, ACDT + 1) → DD
  38. If(ACDT ≟ 1, ".", "s.") → PLP1
  39. If(ACCW ≟ 1, "", "s") → PLN2
  40. If(ACNw ≟ 1, ".", "s.") → PLP3
  41. If(ACNw ≟ 1, "", "s") → PLN3
  42. Sequence(Text[Element[LCL, k], (FDTxLf, FDTxTp - (FDRH * k))], k, 1, classes) → LCLTx2
  43. If(ACDT ≟ 1, "", "s") → PLN1
  44. Sequence(Text[Element[FrqSq, k], (FDTxLf + 25, FDTxTp - (FDRH * k))], k, 1, classes) → FrqTxSq
  45. Sequence(Text[Element[UCL, k], (FDTxLf + 8, FDTxTp - (FDRH * k))], k, 1, classes) → UCLTx2
  46. Text("Construct a quantitative frequency distribution with " + classes + " different classes.") → PrbStm
  47. Sequence(Text[Element[ToSq, k], (FDTxLf + 4.5, FDTxTp - (FDRH * k))], k, 1, classes) → ToTx
  48. Sequence(Text[Element[L1, k], ((k * DTCW) + DTLf - 5, DTRL1)], k, 1, ceil(size / 2)) → DtRw1
  49. Sequence(Text[Element[L3, k], ((k * DTCW) + DTLf - 5, DTRL2)], k, 1, ceil(size / 2)) → DtRw2
  50. Sequence(Text[Element[LCL, k], (14, ClcHt - (FDRH * k))], k, 1, classes) → LCLTx1
  51. Sequence(Text[Element[CWSq1, k], (6, ClcHt - ((k + 1) * FDRH))], k, 1, classes - 1) → CWTx1
  52. Sequence(Text[Element[EqSq, k], (11.5, ClcHt - ((k + 1) * FDRH))], k, 1, classes - 1) → EqTx1
  53. Sequence(Text[Element[Pls, k], (3, ClcHt - (k * FDRH))], k, 1, classes) → PlsTx1
  54. Sequence(Text[Element[LCLTx2, k], ((-2), ClcHt - ((k + 1) * FDRH))], k, 1, classes - 1) → LCLCnTx
  55. Sequence(Text[Element[UCLCn, k], (21, ClcHt - (FDRH * k))], k, 2, classes) → UCLCnTx
  56. Sequence(Text[Element[Pls, k], (26, ClcHt - (FDRH * k))], k, 1, classes) → PlsTx2
  57. Sequence(Text[Element[CWSq1, k], (28.5, ClcHt - ((k + 1) * FDRH))], k, 1, classes - 1) → CWTx2
  58. Sequence(Text[Element[EqSq, k], (34, ClcHt - (FDRH * k))], k, 2, classes) → EqTx2
  59. Sequence(Text[Element[UCL, k], (37, ClcHt - (FDRH * k))], k, 1, classes) → UCLTx1
  60. Sequence(Sequence[Text[Element[Element[TlySq, k], j], (FDTxLf + 14.2 + (0.6 * j), FDTxTp - (FDRH * k))], j, 1, Element[FrqSq, k]], k, 1, classes) → TlyTxSq

AI 绘图提示语参考

绘制一个动态演示定量频率分布构建过程的统计图表。展示数据分组和频率计算,包含多个数据集选择和分布表构建步骤。图表应包括数据点序列、分组区间、频率计数和直方图,按顺序动态展示从原始数据到频率分布表的转换过程。
以上提示语为根据原始绘图命令整理而来,仅供参考。