通过例子介绍概率密度曲线的意义 例:在某地区7岁正常发育的男孩中随机抽110个人,测 量他们的身高,并以身高观察值(cm)为数据,试刻画 7岁男孩身高分布。 112.6120.9115.3126.6125.3124.0107.4116.1124.3110.6114.5 128.7122.0121.5123.0114.8117.8119.4124.4111.9132.8116.8 124.1122.3114.2114.4123.9112.0125.2119.1120.9117.1129.9 117.1115.5117.6116.5111.6118.2119.3124.1122.1126.8115.6 117.2116.4123.2123.4115.7125.6127.6115.3115.8128.1125.5 107.7114.6117.1118.6120.7124.7128.7123.1118.0133.3123.8 122.1122.1112.6115.8122.8130.6128.3113.0118.8120.1117.0 114.2120.4113.4116.6119.1124.1121.6109.4119.3119.1128.2 118.5119.4119.7129.0118.4121.2117.8121.7109.8113.7119.0 114.6120.0124.6110.8128.4119.2115.1124.0118.1122.3119.9例:在某地区7岁正常发育的男孩中随机抽110个人，测 量他们的身高，并以身高观察值(cm)为数据，试刻画 ７岁男孩身高分布。 112.6 120.9 115.3 126.6 125.3 124.0 107.4 116.1 124.3 110.6 114.5 128.7 122.0 121.5 123.0 114.8 117.8 119.4 124.4 111.9 132.8 116.8 124.1 122.3 114.2 114.4 123.9 112.0 125.2 119.1 120.9 117.1 129.9 117.1 115.5 117.6 116.5 111.6 118.2 119.3 124.1 122.1 126.8 115.6 117.2 116.4 123.2 123.4 115.7 125.6 127.6 115.3 115.8 128.1 125.5 107.7 114.6 117.1 118.6 120.7 124.7 128.7 123.1 118.0 133.3 123.8 122.1 122.1 112.6 115.8 122.8 130.6 128.3 113.0 118.8 120.1 117.0 114.2 120.4 113.4 116.6 119.1 124.1 121.6 109.4 119.3 119.1 128.2 118.5 119.4 119.7 129.0 118.4 121.2 117.8 121.7 109.8 113.7 119.0 114.6 120.0 124.6 110.8 128.4 119.2 115.1 124.0 118.1 122.3 119.9 通过例子介绍概率密度曲线的意义