平均与标准差的关系
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这个范例演示了平均值与标准差之间的关系。它涉及统计学中的核心概念,如平均值和标准差。通过使用GeoGebra命令如Vector、Polygon、Mean等,可以直观地展示数据分布的特征。适合高中数学教学,特别是统计学和概率论课程。
GeoGebra 命令及参数
Vector((0, 1)) → uVector((0.5, 0)) → vPolygon(C, C + v, C + v + u, C + u, C) → polígono1, b, c, d, e, fPolygon(D, D + v, D + v + u, D + u, D) → polígono2, d_1, g, h, i, d_2Polygon(A, A + v, A + v + u, A + u, A) → polígono3, a_1, j, k, l, a_2Polygon(E, E + v, E + v + u, E + u, E) → polígono4, e_1, m, n, p, e_2Polygon(F, F + v, F + v + u, F + u, F) → polígono5, f_1, q, r, s, f_2Polygon(G, G + v, G + v + u, G + u, G) → polígono6, g_1, t, b_1, c_1, g_2Polygon(H, H + v, H + v + u, H + u, H) → polígono7, h_1, i_1, j_1, k_1, h_2Polygon(I, I + v, I + v + u, I + u, I) → polígono8, i_2, l_1, m_1, n_1, i_3Polygon(J, J + v, J + v + u, J + u, J) → polígono9, j_2, p_1, q_1, r_1, j_3Polygon(K, K + v, K + v + u, K + u, K) → polígono10, k_2, a, s_1, t_1, k_3Mean({x(A), x(C), x(D), x(E), x(F), x(G), x(H), x(I), x(J), x(K)}) → oRay(L, M) → b_2Point(xAxis) → NRay(L, N) → c_2Sequence(Text[i, (0.18, 0) + (Vector[(1, 0)] * i)], i, 0, 50) → lista3Vector(B, B + (o_1, 0)) → v_1Segment(B + (o_1, 0.25), B + (o_1, 10.25)) → l_2Segment(B + ((-o_1), 0.25), B + ((-o_1), 10.25)) → m_2Vector(B, B + ((-o_1), 0)) → w_1