标准差表示的离散度
几何画板及绘图内容加载中,请稍等……
本示例通过标准差的演示,展示数据集的离散程度。涉及的核心数学概念包括标准差、均值等。使用了Sort、Element、SampleSD、Text、Mean等GeoGebra命令。适合统计学教学和演示。
GeoGebra 命令及参数
Sort({9 * Random[1, a], 8 * Random[1, a], 5 * Random[1, a], 8 * Random[1, a], 5 * Random[1, a], 9 * Random[1, a], 8 * Random[1, a], 9 * Random[1, a], 5 * Random[1, a], 9 * Random[1, a], 8 * Random[1, a], 8 * Random[1, a], 5 * Random[1, a], 2 * Random[1, a], 5 * Random[1, a], 9 * Random[1, a], 5 * Random[1, a], 8 * Random[1, a], 6 * Random[1, a], 9 * Random[1, a], 8 * Random[1, a], 5 * Random[1, a], 9 * Random[1, a], 6 * Random[1, a], 4 * Random[1, a], 3 * Random[1, a], 2 * Random[1, a], 2 * Random[1, a], 2 * Random[1, a], 2 * Random[1, a]}) → list1Element(list1, 1) → bSampleSD(list1) → StandardElement(list1, 30) → dText("Standard Deviation:" * c) → text1Mean(list1) → hPoint(i) → APoint(i) → BSegment(A, B) → jText("x = " * h) → text2Histogram({0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90}, list1, false) → g