<p><table id="table2" bordercolor="#ffffff" cellspacing="1" cellpadding="0" width="562" bgcolor="#578fb8" border="1"><tbody><tr><td bgcolor="#ccedff" colspan="2" height="22"><font face="Arial" style="FONT-SIZE: 9pt;"><b>第一章&nbsp; 统计资料</b></font></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><font face="Arial"><span lang="EN-US" style="FONT-SIZE: 9pt; LINE-HEIGHT: 110%;">1.1 统计资料的基本概念</span></font></td><td width="188" bgcolor="#efefef" height="22"><span lang="EN-US" style="LINE-HEIGHT: 110%;"><font face="Arial" style="FONT-SIZE: 9pt;">1.2 统计资料的收集</font></span></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><font face="Arial"><span lang="EN-US" style="FONT-SIZE: 9pt; LINE-HEIGHT: 110%;">1.3&nbsp; 统计调查</span></font></td><td width="188" bgcolor="#efefef" height="22"></td></tr><tr><td bgcolor="#ccedff" colspan="2" height="22"><b><font face="Arial" style="FONT-SIZE: 9pt;">第二章 统计资料的整理</font></b></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><span lang="EN-US" style="LINE-HEIGHT: 110%;"><font face="Arial"><span style="FONT-SIZE: 9pt;">2.1</span></font><span style="FONT-SIZE: 9pt; FONT-STYLE: normal; FONT-FAMILY: Arial; FONT-VARIANT: normal;">
</span></span><font face="Arial"><span style="FONT-SIZE: 9pt; LINE-HEIGHT: 110%;">统计表</span></font></td><td width="188" bgcolor="#efefef" height="22"><font face="Arial"><span lang="EN-US" style="FONT-SIZE: 9pt; LINE-HEIGHT: 110%;">2.2 统计图</span></font></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><font face="Arial"><span lang="EN-US" style="FONT-SIZE: 9pt;">2.3 双变量的二元分布</span></font></td><td width="188" bgcolor="#efefef" height="22"></td></tr><tr><td bgcolor="#ccedff" colspan="2" height="22"><b><font face="Arial" style="FONT-SIZE: 9pt;">第三章 统计资料的综合</font></b></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><font face="Arial"><span lang="EN-US" style="FONT-SIZE: 9pt; LINE-HEIGHT: 110%;">3.1&nbsp; 表示集中位置的特征数</span></font></td><td width="188" bgcolor="#efefef" height="22"><font face="Arial"><span lang="EN-US" style="FONT-SIZE: 9pt; LINE-HEIGHT: 110%;">3.2</span><span style="FONT-SIZE: 9pt; LINE-HEIGHT: 110%;"> 表示变异（分散）程度的特征数</span></font></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><font style="FONT-SIZE: 9pt;"><span lang="EN-US" style="COLOR: black; FONT-FAMILY: Arial;">3.3 表示偏倚情况或程度的特征数</span></font></td><td width="188" bgcolor="#efefef" height="22"><span lang="EN-US" style="FONT-SIZE: 9pt; COLOR: black; FONT-FAMILY: Arial;">3.4 五数概括法</span></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><font face="Arial"><span lang="EN-US" style="FONT-SIZE: 9pt; LINE-HEIGHT: 110%;">3.5 盒形图</span></font></td><td width="188" bgcolor="#efefef" height="22"></td></tr><tr><td bgcolor="#ccedff" colspan="2" height="22"><b><font face="Arial" style="FONT-SIZE: 9pt;">第四章 统计抽样与统计分布</font></b></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><span lang="EN-US" style="FONT-SIZE: 9pt; LINE-HEIGHT: 110%; FONT-FAMILY: Arial;">4.1 关于抽样的基本概念</span></td><td width="188" bgcolor="#efefef" height="22"><span lang="EN-US" style="FONT-SIZE: 9pt; LINE-HEIGHT: 110%;"><font face="Arial">4.2</font></span><span lang="EN-US" style="FONT-SIZE: 9pt; LINE-HEIGHT: 110%; FONT-STYLE: normal; FONT-FAMILY: Arial; FONT-VARIANT: normal;">
</span><span style="FONT-SIZE: 9pt; LINE-HEIGHT: 110%; FONT-FAMILY: Arial;">几种与正态分布有关的概率分布</span></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><span lang="EN-US" style="COLOR: black; FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">4.3 样本平均数的抽样分布</font></span></td><td width="188" bgcolor="#efefef" height="22"><font face="Arial"><span lang="EN-US" style="FONT-SIZE: 9pt;">4.4 中心极限定理</span></font></td></tr><tr><td bgcolor="#ccedff" colspan="2" height="22"><b><font face="Arial" style="FONT-SIZE: 9pt;">第五章 参数估计</font></b></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><font face="Arial"><span lang="EN-US" style="FONT-SIZE: 9pt;">5.1 点估计</span></font></td><td width="188" bgcolor="#efefef" height="22"><font face="Arial"><span lang="EN-US" style="FONT-SIZE: 9pt;">5.2&nbsp; 区间估计</span></font></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><font face="Arial"><span lang="EN-US" style="FONT-SIZE: 9pt;">5.3 样本容量的确定</span></font></td><td width="188" bgcolor="#efefef" height="22"></td></tr><tr><td bgcolor="#ccedff" colspan="2" height="22"><b><font face="Arial" style="FONT-SIZE: 9pt;">第六章 假设检验</font></b></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><font style="FONT-SIZE: 9pt;"><span lang="EN-US" style="COLOR: black; FONT-FAMILY: Arial;">6.1 假设检验的一般问题</span></font></td><td width="188" bgcolor="#efefef" height="22"><font face="Arial"><span lang="EN-US" style="LINE-HEIGHT: 110%;"><font style="FONT-SIZE: 9pt;">6.2</font></span><font style="FONT-SIZE: 9pt;"><span style="LINE-HEIGHT: 110%;">
</span><span lang="EN-US" style="LINE-HEIGHT: 110%;">正态总体参数的假设检验</span></font></font></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><span lang="EN-US" style="COLOR: black; FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">6.3 总体比率的假设检验</font></span></td><td width="188" bgcolor="#efefef" height="22"><font face="Arial"><span lang="EN-US" style="FONT-SIZE: 9pt; LINE-HEIGHT: 110%;">6.4 非参数的假设检验</span></font></td></tr><tr><td bgcolor="#ccedff" colspan="2" height="22"><b><font face="Arial" style="FONT-SIZE: 9pt;">第七章 统计抽样</font></b></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><span lang="EN-US" style="LINE-HEIGHT: 110%;"><font face="Arial" style="FONT-SIZE: 9pt;">7.1 </font></span><span style="LINE-HEIGHT: 110%; FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">统计抽样基本概念</font></span></td><td width="188" bgcolor="#efefef" height="22"><font style="FONT-SIZE: 9pt;"><span lang="EN-US" style="FONT-FAMILY: Arial;">7.2 </span></font><span style="FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">抽样调查种类和抽样方法</font></span></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><span lang="EN-US" style="LINE-HEIGHT: 110%;"><font face="Arial" style="FONT-SIZE: 9pt;">7.3 </font></span><span style="LINE-HEIGHT: 110%; FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">调查误差</font></span></td><td width="188" bgcolor="#efefef" height="22"><span lang="EN-US" style="FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">7.4 </font></span><font style="FONT-SIZE: 9pt;"><span style="FONT-FAMILY: Arial;">简单随机抽样</span></font></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><span lang="EN-US" style="FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">7.5 </font></span><font style="FONT-SIZE: 9pt;"><span style="FONT-FAMILY: Arial;">分层简单随机抽样</span></font></td><td width="188" bgcolor="#efefef" height="22"><span lang="EN-US" style="FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">7.6 </font></span><span style="FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">整群抽样</font></span></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><span lang="EN-US" style="FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">7.7</font></span><span style="FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;"> 系统抽样</font></span></td><td width="188" bgcolor="#efefef" height="22"></td></tr><tr><td bgcolor="#ccedff" colspan="2" height="22"><b><font face="Arial" style="FONT-SIZE: 9pt;">第八章 方差分析</font></b></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><span lang="EN-US" style="COLOR: black; FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">8.1 方差分析的基本概念和原理</font></span></td><td width="188" bgcolor="#efefef" height="22"><font face="Arial"><span lang="EN-US" style="FONT-SIZE: 9pt; LINE-HEIGHT: 110%;">8.2 单因素试验的方差分析</span></font></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><span lang="EN-US" style="COLOR: black; FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">8.3 双因素方差分析</font></span></td><td width="188" bgcolor="#efefef" height="22"><font style="FONT-SIZE: 9pt;"><span lang="EN-US" style="COLOR: black; FONT-FAMILY: Arial;">8.4 正交试验设计</span></font></td></tr><tr><td bgcolor="#ccedff" colspan="2" height="22"><b><font face="Arial" style="FONT-SIZE: 9pt;">第九章 一元线性回归</font></b></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><span lang="EN-US" style="COLOR: black; FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">9.1 回归分析的基本概念</font></span></td><td width="188" bgcolor="#efefef" height="22"><font face="Arial" style="FONT-SIZE: 9pt;">9.2 一元线性回归模型</font></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><span lang="EN-US" style="COLOR: black; FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">9.3 总平方和分解</font></span></td><td width="188" bgcolor="#efefef" height="22"><span lang="EN-US" style="COLOR: black; FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">9.4 样本确定系数与样本相关系数</font></span></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><font style="FONT-SIZE: 9pt;"><span lang="EN-US" style="COLOR: black; FONT-FAMILY: Arial;">9.5 一元线性回归显著性检验</span></font></td><td width="188" bgcolor="#efefef" height="22"><font style="FONT-SIZE: 9pt;"><font face="Arial"><span lang="EN-US" style="COLOR: black;">9.6</span></font><span lang="EN-US" style="COLOR: black; FONT-FAMILY: Arial;"><strong style="FONT-WEIGHT: 400;"> 模型适合性分析</strong></span></font></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><span lang="EN-US" style="COLOR: black; FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">9.7 E(<i>Y</i>)的区间估计</font></span></td><td width="188" bgcolor="#efefef" height="22"><span lang="EN-US" style="FONT-SIZE: 9pt; COLOR: black; FONT-FAMILY: Arial;">9.8 </span><span style="FONT-SIZE: 9pt; COLOR: black; FONT-FAMILY: Arial;">&nbsp;</span><span lang="EN-US" style="FONT-SIZE: 9pt; COLOR: black; FONT-FAMILY: Arial;">因变量<i>Y</i>的预测</span></td></tr><tr><td bgcolor="#ccedff" colspan="2" height="22"><b><font face="Arial" style="FONT-SIZE: 9pt;">第十章 多元线性回归</font></b></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><span lang="EN-US" style="COLOR: black; FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">10.1</font></span><font style="FONT-SIZE: 9pt;"><span style="COLOR: black; FONT-FAMILY: Arial;">
</span><span lang="EN-US" style="COLOR: black; FONT-FAMILY: Arial;">多元线性回归模型</span></font></td><td width="188" bgcolor="#efefef" height="22"><span lang="EN-US" style="COLOR: black; FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">10.2&nbsp; 参数的最小二乘估计</font></span></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><span lang="EN-US" style="COLOR: black; FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">10.3 回归方程的显著性检验</font></span></td><td width="188" bgcolor="#efefef" height="22"><span lang="EN-US" style="COLOR: black; FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">10.4 回归系数的显著性检验</font></span></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><font face="Arial" style="FONT-SIZE: 9pt;">10.5 二元线性回归方程相应计算公式</font></td><td width="188" bgcolor="#efefef" height="22"></td></tr><tr><td bgcolor="#ccedff" colspan="2" height="22"><b><font face="Arial" style="FONT-SIZE: 9pt;">第十一章 时间序列和指数</font></b></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><font face="Arial" style="FONT-SIZE: 9pt;"><span lang="EN-US" style="LINE-HEIGHT: 110%;">11.1 </span></font><span style="LINE-HEIGHT: 110%; FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">时间序列的成分</font></span></td><td width="188" bgcolor="#efefef" height="22"><font face="Arial" style="FONT-SIZE: 9pt;"><span lang="EN-US" style="LINE-HEIGHT: 110%;">11.2 </span></font><span style="LINE-HEIGHT: 110%; FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">利用平滑法进行预测</font></span></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><span lang="EN-US" style="LINE-HEIGHT: 110%; FONT-FAMILY: Arial;"><font style="FONT-SIZE: 9pt;">11.3 利用趋势推测法进行预测</font></span></td><td width="188" bgcolor="#efefef" height="22"><font style="FONT-SIZE: 9pt;"><span lang="EN-US" style="LINE-HEIGHT: 110%; FONT-FAMILY: Arial;">11.4 利用趋势和季节成分进行预测</span></font></td></tr><tr><td width="210" bgcolor="#efefef" height="22"><font style="FONT-SIZE: 9pt;"><span lang="EN-US" style="LINE-HEIGHT: 110%; FONT-FAMILY: Arial;">11.5 指数</span></font></td><td width="188" bgcolor="#efefef" height="22"></td></tr></tbody></table></p><p><br/></p><br>pxg_1981
&nbsp;金钱&nbsp;+50
&nbsp;魅力&nbsp;+5
&nbsp;奖励有价值的资料&nbsp;2008-11-9 10:54:17
<br>pxg_1981
&nbsp;金钱&nbsp;+50
&nbsp;魅力&nbsp;+5
&nbsp;共享资料&nbsp;2008-11-24 10:14:03