正态分布探究 by Neil
几何画板及绘图内容加载中,请稍等……
这个范例演示了正态分布的特性。它涉及概率统计的核心概念,通过使用GeoGebra命令如Segment, Point, Histogram, Mean, SD, BoxPlot, Normal, Polygon, NormalQuantilePlot等,构建了一个直观的正态分布图形。适合高中及以上学生或教师使用,帮助理解正态分布的形状、均值、标准差等概念。
GeoGebra 命令及参数
Segment((0, 0.001), (100, 0.001)) → aPoint(a) → APoint(a) → BPoint(a) → CPoint(a) → DPoint(a) → EPoint(a) → FPoint(a) → GPoint(a) → HPoint(a) → IPoint(a) → JPoint(a) → KPoint(a) → LPoint(a) → MPoint(a) → NPoint(a) → OPoint(a) → PPoint(a) → QPoint(a) → RPoint(a) → SPoint(a) → TPoint(a) → UPoint(a) → VPoint(a) → WPoint(a) → ZPoint(a) → A_1Point(a) → B_1Point(a) → C_1Point(a) → D_1Point(a) → E_1Point(a) → F_1Point(a) → G_1Point(a) → H_1Point(a) → I_1Point(a) → J_1Point(a) → K_1Point(a) → L_1Point(a) → M_1Point(a) → N_1Point(a) → O_1Point(a) → P_1Point(a) → Q_1Point(a) → R_1Point(a) → S_1Point(a) → T_1Point(a) → U_1Point(a) → V_1Point(a) → W_1Point(a) → Z_1Point(a) → A_2Point(a) → B_2Point(a) → C_2Point(a) → D_2Point(a) → E_2Point(a) → F_2Point(a) → G_2Point(a) → H_2Point(a) → I_2Point(a) → J_2Point(a) → K_2Point(a) → L_2Histogram({0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100}, B1:B60, true, 0.016666666666666666) → cMean(B1:B60) → meanSD(B1:B60) → sdBoxPlot(0.03, 0.001, mean - sd, mean, mean, mean, mean + sd) → dNormal(mean, sd, x) → gSegment((mean, 0), (mean, 0.02)) → hBoxPlot(0.033, 0.001, mean - (2 * sd), mean, mean, mean, mean + (2 * sd)) → eBoxPlot(0.036, 0.001, mean - (3 * sd), mean, mean, mean, mean + (3 * sd)) → fBoxPlot(0.025, 0.001, B1:B60) → bPolygon((105, 0.01), (115, 0.01), (115, 0.0116667), (105, 0.0116667)) → poly2, s, t, a_1, b_1NormalQuantilePlot(B1:B60) → list1
AI 绘图提示语参考
画一条水平线,在线上均匀分布50个点,然后用这些点构建一个多边形,展示正态分布的基本形态,适合用于概率和统计教学。
以上提示语为根据原始绘图命令整理而来,仅供参考。