标准差 by Yoong Kheong
几何画板及绘图内容加载中,请稍等……
本范例演示了标准差的概念,即数据围绕平均值的离散程度。通过构造数据点、计算平均值、绘制数据分布等步骤,展示了如何利用GeoGebra命令如Point、Line、Mean等来构建标准差的图形。适合初中及以上学生学习统计学中的数据分散度。
GeoGebra 命令及参数
Point(xAxis) → Col_1Point(xAxis) → Col_2Point(xAxis) → Col_3Point(xAxis) → Col_4Point(xAxis) → Col_5Point(xAxis) → Col_6Point(xAxis) → Col_7Point(xAxis) → Col_8Point(xAxis) → Col_9Point(xAxis) → Col_{10}Line(Col_1, yAxis) → aLine(Col_2, yAxis) → bLine(Col_3, yAxis) → cLine(Col_4, yAxis) → dLine(Col_5, yAxis) → eLine(Col_6, yAxis) → fLine(Col_7, yAxis) → gLine(Col_8, yAxis) → hLine(Col_9, yAxis) → iLine(Col_{10}, yAxis) → jPoint(a) → pt_1Point(b) → pt_2Point(c) → pt_3Point(d) → pt_4Point(e) → pt_5Point(f) → pt_6Point(g) → pt_7Point(h) → pt_8Point(i) → pt_9Point(j) → pt_{10}Mean(B2:B11) → B13Mean(C2:C11) → C13Intersect(a, k) → Inter_ASegment(Inter_A, pt_1) → seg_1Intersect(b, k) → Inter_BIntersect(d, k) → Inter_DIntersect(f, k) → Inter_FIntersect(h, k) → Inter_HIntersect(j, k) → Inter_JSegment(Inter_B, pt_2) → seg_2Segment(Inter_J, pt_{10}) → b_1Intersect(c, k) → Inter_CIntersect(e, k) → Inter_EIntersect(g, k) → Inter_GIntersect(i, k) → Inter_ISegment(Inter_C, pt_3) → seg_3Segment(Inter_D, pt_4) → seg_4Segment(Inter_E, pt_5) → seg_5Segment(Inter_F, pt_6) → seg_6Segment(Inter_G, pt_7) → seg_7Segment(Inter_H, pt_8) → seg_8Segment(Inter_I, pt_9) → seg_9Segment(Inter_J, pt_{10}) → seg_{10}
AI 绘图提示语参考
绘制一组数据点,然后计算它们的平均值。接着,通过每个数据点作垂直线并与x轴相交,再计算这些垂直线与平均值线的交点,最后连接这些交点形成标准差的图形。
以上提示语为根据原始绘图命令整理而来,仅供参考。