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单击此处编辑母版标题样式,单击此处编辑母版文本样式,第二级,第三级,第四级,第五级,*,频率分布直方图与折线图,一,、,求,极差,,,即数据中最大值与最小值的差,二、决定,组距,与组数:组距,=,极差,/,组数,三、分组,通常对组内数值所在区间,,取,左闭右开,区间,最后一组取闭区间,四、登记,频数,计算,频率,列出,频率分布表,画一组数据的频率分布直方图,可以按以下的步骤进行,:,五、画出,频率分布直方图,(纵轴表示,频率组距,),1.,已知样本,10,8,6,10,8,13,11,10,12,7,8,9,12,9,11,12,9,10,11,11,那么频率为,0.2,范围的是,(),A.5.57.5 B.7.59.5 C.9.511.5 D.11.513.5,分组,频数,频率,5.57.5,2,0.1,7.59.5,6,0.3,9.511.5,8,0.4,11.513.5,4,0.2,合计,20,1.0,D,练习:,2.,一个容量为,100,的样本,数据的分组和各组的相关信息如下表,试完成表中每一行的两个空格,.,分组,频数,频率,频率累计,12,15),6,15,18),0.08,18,21),0.30,21,24),21,24,27),0.69,27,30),16,30,33),0.10,33,36,1.00,合计,100,1.00,0.06,0.06,8,0.14,16,0.16,0.21,0.51,18,0.18,0.16,0.85,10,0.95,5,0.05,例,1,、为了了解一大片经济林的生长情况,随机测量其中的,100,株的底部周长,得到如下数据表(长度单位:,cm,),:,135,98,102,110,99,121,110,96,100,103,125,97,117,113,110,92,102,109,104,112,109,124,87,131,97,102,123,104,104,128,105,123,111,103,105,92,114,108,104,102,129,126,97,100,115,111,106,117,104,109,111,89,110,121,80,120,121,104,108,118,129,99,90,99,121,123,107,111,91,100,99,101,116,97,102,108,101,95,107,101,102,108,117,99,118,106,119,97,126,108,123,119,98,121,101,113,102,103,104,108,(1),编制频率分布表,;(,2),绘制频率分布直方图,;,(,3,)估计该片经济林中底部周长小于,100cm,的树木 约占多少,周长不小于,120cm,的树木约占多少。,解,:,(,1,)从表中可以看出:,这组数据的最大值为,135,,最小值为,80,,,故极差为,55,,,可将其分为,11,组,组距为,5,。,从第,1,组,80,,,85,)开始,,将各组的频数、频率和频率,/,组距 填入表中,分组,频数,频率,频率,/,组距,80,,,85),1,0.01,0.002,85,,,90),2,0.02,0.004,90,,,95,4,0.04,0.008,95,,,100),14,0.14,0.028,100,,,105),24,0.24,0.048,105,,,110),15,0.15,0.030,110,,,115),12,0.12,0.024,115,,,120),9,0.09,0.018,120,,,125),11,0.11,0.022,125,,,130,6,0.06,0.012,130,,,135,2,0.02,0.004,合计,100,1,0.2,80,85,90,95,135,110,115,120,125,130,100,105,连接频率分布直方图中各小长方形上端的中点,得到,频率分布折线图,对比,频率分布表数据详实、具体,清晰明了,便于查阅,频率直方图形象直观,对比效果强烈,频率折线图能反应发展变化的趋势,利用样本频率分布对总体分布进行相应估计,(,3,)当样本容量无限增大,组距无限缩小,那么频率分布直方图就会无限接近于一条光滑曲线,总体密度曲线,。,(,2,)样本容量越大,这种估计越精确。,(,1,)上例的样本容量为,100,,如果增至,1000,,其频率分布直方图的情况会有什么变化?假如增至,10000,呢?,总体密度曲线,频率,组距,身高,/cm,a,b,(图中阴影部分的面积,表示总体在某个区间,(a,b),内取值的百分比)。,用样本分布直方图去估计相应的总体分布时,一般样本容量越大,,频率分布直方图,就会无限接近,总体密度曲线,,就越精确地反映了总体的分布规律,即越精确地反映了总体在各个范围内取值百分比。,总体密度曲线反映了总体在各个范围内取值的百分比,精确地反映了总体的分布规律。是研究总体分布的工具,.,总体密度曲线,茎叶图,知识回忆,初中统计部分曾学过用平均数、众数、中位数反映总体的集中水平,1,、众 数:在一组数据中,出现次数最多的数据叫做这组数据的众数;,2,、中位数:将一组数据按大小依次排列,把处在最中间位置的一个数据(或最中间两个数据的平均数)叫做这组数据的中位数,如:,12,,,15,,,24,,,25,,,31,,,31,,,36,,,36,,,37,,,39,,,44,,,49,,,50,所有的十位数:作为树枝的茎,所有的个位数:作为树枝的叶,1,枝节上的叶为,_,2,枝节上的叶为,_,3,枝节上的叶为,_,4,枝节上的叶为,_,5,枝节上的叶为,_,茎叶图,2,5,4,5,1,1,6,6,7,9,4,9,0,例题分析:,1,、甲、乙两篮球运动员上赛季每场比赛得分如下,试比较这两位运动员的得分水平。,甲:,12,,,15,,,24,,,25,,,31,,,31,,,36,,,36,,,37,,,39,,,44,,,49,,,50,乙:,8,,,13,,,14,,,16,,,23,,,26,,,28,,,33,,,38,,,39,,,51,用茎叶图刻画数据有两个优点,:,一是所有的信息都可以从这张茎叶图中得到,二是茎叶图便于记录和表示,.,但当数据很多时,茎叶图的效果就不是很好了,.,P58,练习,1,2,
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