相对频率与分类条形图
几何画板及绘图内容加载中,请稍等……
所属专题
Charts & Graphs
①本范例演示如何构建相对频率分布并绘制分类条形图;②涉及核心数学概念包括相对频率、频率分布、条形图绘制;③构造过程中运用了Element, Sequence, RemoveUndefined, Sum, Max, Mod, CountIf, Segment等GeoGebra命令及CatNoSq, DataSet, CatNo1等对象;④适合高中统计与概率课程教学及学生实践操作。
GeoGebra 命令及参数
Element(CatNoSq, DataSet) → CatNo1Sequence(If[k > 96, 6, If[k > 91, 5, If[k > 85, 4, If[k > 79, 3, If[k > 66, 2, 1]]]]], k, 1, 100) → DtSq1Sequence(If[k > 91, 5, If[k > 69, 4, If[k > 57, 3, If[k > 51, 2, 1]]]], k, 1, 100) → DtSq2Sequence(If[k > 79, 4, If[k > 66, 3, If[k > 28, 2, 1]]], k, 1, 100) → DtSq3Element(DtSqSq, DataSet) → DtSqSequence(Element[DtSq, Mod[Seed + (47 * k), 100] + 1], k, 1, Sz1) → AcDtSequence(CountIf[x ≟ k, AcDt], k, 1, CatNo1) → FrqSq1Sequence(If[Element[FrqSq1, k] ≟ 0, NaN, Element[FrqSq1, k]], k, 1, CatNo1) → FrqSq2RemoveUndefined(FrqSq2) → FrqSq3Sum(FrqSq3) → Sz2Max(FrqSq3) → FrqMaxMax(1, floor(FrqMax / 3)) → FrqUntMod(Seed, 10) → StartElement(CatLabSq, DataSet) → CatLabElement(IndPrcSq, DataSet) → IndPrcElement(CatSq, DataSet) → Cat1Sequence(Sum[First[IndPrc1, k]], k, 1, 5) → CmlPrc1Sequence(Sum[First[IndPrc2, k]], k, 1, 4) → CmlPrc2Sequence(Sum[First[IndPrc3, k]], k, 1, 3) → CmlPrc3Sequence(If[Element[FrqSq2, k] ≠ 0, Element[Cat1, k]], k, 1, CatNo1) → Cat2RemoveUndefined(Cat2) → Cat3CountIf(x > 0, FrqSq1) → CatNo2Sequence(Element[FrqSq3, k] / Sz2, k, 1, CatNo2) → RFSqSequence(Text[Element[Cat3, k], ((-4), ClTp - (0.1 * k))], k, 1, CatNo2) → CatTxtSegment(UL, LL) → FrqAxSegment(LL, LR) → HrAxSegment(LR, UR) → RFAxSequence(Segment[(GL + ((k - 1) * CW), Adpt(Element[FrqSq3, k])), (GL + (k * CW), Adpt(Element[FrqSq3, k]))], k, 1, CatNo2) → BrTpSegment(LL, (GL, Adpt(Element[FrqSq3, 1]))) → LftSdSegment(LR, (GR, Adpt(Element[FrqSq3, CatNo2]))) → RgtSdSequence(Segment[(GL + (k * CW), GB), (GL + (k * CW), Adpt(Max[Element[FrqSq3, k], Element[FrqSq3, k + 1]]))], k, 1, CatNo2 - 1) → BrSdSequence((GL + ((k - 0.6) * CW) - 0.5, GB - 0.02), k, 1, CatNo2) → LblLcSqSequence(VerticalText[Element[Cat3, k], Element[LblLcSq, k]], k, 1, CatNo2) → BrLblSqElement(TtlSq, DataSet) → TitleSequence(Text[k, (GL - 3.5, GB + (k * FrqScl) - 0.02)], k, 0, AxMax, FrqUnt) → FrqLbSqSequence(Segment[(GL - 1, Adpt(k)), (GL, Adpt(k))], k, 0, AxMax, FrqUnt) → FrqAxTcSequence(Segment[(GR, Adpt(k)), (GR + 1, Adpt(k))], k, 0, AxMax, FrqUnt) → RFAxTcSequence(Text[k / Sz2, (GR + 1.1, GB + (k * FrqScl) - 0.02)], k, 0, AxMax, FrqUnt) → RFLblSqSequence(Text[Element[FrqSq3, k], (11, ClTp - (0.1 * k))], k, 1, CatNo2) → FrqTxt1Sequence(Text[(((Element[FrqSq3, k] * "/") * Sz2) * " ="), (15, ClTp - (0.1 * k))], k, 1, CatNo2) → RFC1TxSequence(Text[Element[RFSq, k], (22, ClTp - (0.1 * k))], k, 1, CatNo2) → RLFrTxSequence((k * FrqUnt / Sz2), k, 0, CatNo3) → GRFSqSequence((k * FrqUnt), k, 0, CatNo3) → GFSqSequence(Text[((((Element[GFSq, k + 1] * "/") * Sz2) * " = ") * Element[GRFSq, k + 1]), (75, (-1.53) + (0.1 * k))], k, 0, CatNo3) → RFC2Tx
AI 绘图提示语参考
绘制一个条形图,展示不同分数段的相对频率。首先,根据分数段划分数据集,计算每个分数段的频率,然后去除频率为零的条形,接着计算总频率,确定最大频率,设置频率轴的刻度间隔。最后,绘制条形图,标注每个条形的频率值和相对频率值。
以上提示语为根据原始绘图命令整理而来,仅供参考。