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- <html><head><title>K-L统计</title><meta name="filename" content="text/scalc/01/04060183"/><meta name="language" content="zh-CN"/><help:css-file-link xmlns:help="http://openoffice.org/2000/help"/><!--The CSS style header method for setting styles--><style type="text/css">
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- <p class="Head1"><help:to-be-embedded Eid="kl" xmlns:help="http://openoffice.org/2000/help"><help:link Id="66812">K-L统计</help:link></help:to-be-embedded></p>
- <p class="Head2"><help:help-id value="HID_FUNC_KGROESSTE" xmlns:help="http://openoffice.org/2000/help"/><a name="kgroesste"/><help:key-word value="LARGE" tag="kw66812_1" xmlns:help="http://openoffice.org/2000/help"/>LARGE</p>
- <p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">反馈数据集里第k个最大值。</help:help-text></p>
- <p class="Head3">语法</p>
- <p class="Paragraph">LARGE(array; Rang K)</p>
- <p class="Paragraph"><span class="T1">array</span>是需要从中选择第k个最大值的数据矩阵。</p>
- <p class="Paragraph"><span class="T1">Rank k</span>是返回值在指定数据矩阵中的位置。</p>
- <p class="Head3">示例</p>
- <p class="Paragraph">=LARGE(A1:C50; 2)反馈在数据区域A1:C50中第二大的数值。</p>
- <help:embedded Id="65630" Eid="siehe" xmlns:help="http://openoffice.org/2000/help"/>
- <p class="Paragraph"><help:link Id="66812" Eid="kkleinste" xmlns:help="http://openoffice.org/2000/help">SMALL</help:link>, <help:link Id="66889" Eid="max" xmlns:help="http://openoffice.org/2000/help">MAX</help:link>, <help:link Id="66889" Eid="median" xmlns:help="http://openoffice.org/2000/help">MEDIAN</help:link>, <help:link Id="66889" Eid="quantil" xmlns:help="http://openoffice.org/2000/help">PERCENTILE</help:link>, <help:link Id="66889" Eid="quantilsrang" xmlns:help="http://openoffice.org/2000/help">PERCENTRANK</help:link>, <help:link Id="66889" Eid="quartile" xmlns:help="http://openoffice.org/2000/help">QUARTILE</help:link></p>
- <p class="Head2"><help:help-id value="HID_FUNC_KKLEINSTE" xmlns:help="http://openoffice.org/2000/help"/><a name="kkleinste"/><help:key-word value="SMALL" tag="kw66812_9" xmlns:help="http://openoffice.org/2000/help"/>SMALL</p>
- <p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">反馈数据集里第k个最小值。</help:help-text></p>
- <p class="Head3">语法</p>
- <p class="Paragraph">SMALL(array; Rank k)</p>
- <p class="Paragraph"><span class="T1">array</span>是需要从中选择第k个最小值的数据矩阵。</p>
- <p class="Paragraph"><span class="T1">Rank k</span>是返回值在指定数据矩阵中的位置。</p>
- <p class="Head3">示例</p>
- <p class="Paragraph">=SMALL(A1:C50; 2)反馈在数据区域A1:C50中第二大的数值。</p>
- <help:embedded Id="65630" Eid="siehe" xmlns:help="http://openoffice.org/2000/help"/>
- <p class="Paragraph"><help:link Id="66812" Eid="kgroesste" xmlns:help="http://openoffice.org/2000/help">LARGE</help:link>, <help:link Id="66889" Eid="median" xmlns:help="http://openoffice.org/2000/help">MEDIAN</help:link>, <help:link Id="66889" Eid="min" xmlns:help="http://openoffice.org/2000/help">MIN</help:link>, <help:link Id="66889" Eid="quantil" xmlns:help="http://openoffice.org/2000/help">PERCENTILE</help:link>, <help:link Id="66889" Eid="quantilsrang" xmlns:help="http://openoffice.org/2000/help">PERCENTRANK</help:link>, <help:link Id="66889" Eid="quartile" xmlns:help="http://openoffice.org/2000/help">QUARTILE</help:link></p>
- <p class="Head2"><help:help-id value="HID_FUNC_KONFIDENZ" xmlns:help="http://openoffice.org/2000/help"/><a name="konfidenz"/><help:key-word value="CONFIDENCE" tag="kw66812_8" xmlns:help="http://openoffice.org/2000/help"/>CONFIDENCE</p>
- <p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">计算正态分布(1-alpha)的置信区间。</help:help-text></p>
- <p class="Head3">语法</p>
- <p class="Paragraph">CONFIDENCE(alpha; standard_dev; size)</p>
- <p class="Paragraph"><span class="T1">alpha</span>是计算置信度的水平参数。</p>
- <p class="Paragraph"><span class="T1">standard_dev</span>是数据区域的总体标准偏差。</p>
- <p class="Paragraph"><span class="T1">size</span>是总体容量。</p>
- <p class="Head3">示例</p>
- <p class="Paragraph">=CONFIDENCE(0,05; 1,5; 100)等于0.29。</p>
- <help:embedded Id="65630" Eid="siehe" xmlns:help="http://openoffice.org/2000/help"/>
- <p class="Paragraph"><help:link Id="66918" Eid="gtest" xmlns:help="http://openoffice.org/2000/help">ZTEST</help:link></p>
- <p class="Head2"><help:help-id value="HID_FUNC_KORREL" xmlns:help="http://openoffice.org/2000/help"/><a name="korrel"/><help:key-word value="CORREL" tag="kw66812_7" xmlns:help="http://openoffice.org/2000/help"/>CORREL</p>
- <p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">反馈单元格区域array1和array2之间的相关系数。</help:help-text></p>
- <p class="Head3">语法</p>
- <p class="Paragraph">CORREL(data 1; data 2)</p>
- <p class="Paragraph"><span class="T1">data 1</span>为第一组数据矩阵。</p>
- <p class="Paragraph"><span class="T1">data 2</span>为第二组数据矩阵。</p>
- <p class="Head3">示例</p>
- <p class="Paragraph">=CORREL(A1:A50; B1:B50)计算两个数据区域的相关系数。</p>
- <help:embedded Id="65630" Eid="siehe" xmlns:help="http://openoffice.org/2000/help"/>
- <p class="Paragraph"><help:link Id="66918" Eid="fisher" xmlns:help="http://openoffice.org/2000/help">FISHER</help:link>, <help:link Id="66918" Eid="fisherinv" xmlns:help="http://openoffice.org/2000/help">FISHERINV</help:link>, <help:link Id="66812" Eid="kovar" xmlns:help="http://openoffice.org/2000/help">COVAR</help:link></p>
- <p class="Head2"><help:help-id value="HID_FUNC_KOVAR" xmlns:help="http://openoffice.org/2000/help"/><a name="kovar"/><help:key-word value="COVAR" tag="kw66812_6" xmlns:help="http://openoffice.org/2000/help"/>COVAR</p>
- <p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">计算协方差,即每对数据点的偏差乘积的平均数。</help:help-text></p>
- <p class="Head3">语法</p>
- <p class="Paragraph">COVAR(data 1; data 2)</p>
- <p class="Paragraph"><span class="T1">data 1</span>为第一组数据矩阵。</p>
- <p class="Paragraph"><span class="T1">data 2</span>为第二组数据矩阵。</p>
- <p class="Head3">示例</p>
- <p class="Paragraph">=COVAR(A1:A30; B1:B30)</p>
- <help:embedded Id="65630" Eid="siehe" xmlns:help="http://openoffice.org/2000/help"/>
- <p class="Paragraph"><help:link Id="66918" Eid="fisher" xmlns:help="http://openoffice.org/2000/help">FISHER</help:link>, <help:link Id="66918" Eid="fisherinv" xmlns:help="http://openoffice.org/2000/help">FISHERINV</help:link>, <help:link Id="66812" Eid="korrel" xmlns:help="http://openoffice.org/2000/help">CORREL</help:link></p>
- <p class="Head2"><help:help-id value="HID_FUNC_KRITBINOM" xmlns:help="http://openoffice.org/2000/help"/><a name="kritbinom"/><help:key-word value="CRITBINOM" tag="kw66812_5" xmlns:help="http://openoffice.org/2000/help"/>CRITBINOM</p>
- <p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">反馈使累积二项式分布大于等于临界值的最小值。</help:help-text></p>
- <p class="Head3">语法</p>
- <p class="Paragraph">CRITBINOM(trials; probability_s; alpha)</p>
- <p class="Paragraph"><span class="T1">trials</span>是试验的总次数。</p>
- <p class="Paragraph"><span class="T1">probability_s</span>是一次试验中成功的概率。</p>
- <p class="Paragraph"><span class="T1">alpha</span>是应达到或超出的临界值。</p>
- <p class="Head3">示例</p>
- <p class="Paragraph">=CRITBINOM(100; 0.5; 0.1)等于44。</p>
- <help:embedded Id="65630" Eid="siehe" xmlns:help="http://openoffice.org/2000/help"/>
- <p class="Paragraph"><help:link Id="66884" Eid="binomvert" xmlns:help="http://openoffice.org/2000/help">BINOMDIST</help:link>, <help:link Id="66824" Eid="fakultaet" xmlns:help="http://openoffice.org/2000/help">FACT</help:link>, <help:link Id="66918" Eid="hypgeomvert" xmlns:help="http://openoffice.org/2000/help">HYPGEOMDIST</help:link>, <help:link Id="66824" Eid="kombinationen" xmlns:help="http://openoffice.org/2000/help">COMBIN</help:link>, <help:link Id="66889" Eid="negbinomvert" xmlns:help="http://openoffice.org/2000/help">NEGBINOMDIST</help:link>, <help:link Id="66834" Eid="variationen" xmlns:help="http://openoffice.org/2000/help">PERMUT</help:link>, <help:link Id="66834" Eid="wahrschbereich" xmlns:help="http://openoffice.org/2000/help">PROB</help:link></p>
- <p class="Head2"><help:help-id value="HID_FUNC_KURT" xmlns:help="http://openoffice.org/2000/help"/><a name="kurt"/><help:key-word value="KURT" tag="kw66812_4" xmlns:help="http://openoffice.org/2000/help"/>KURT</p>
- <p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">反馈数据集的峰值。</help:help-text>必须至少输入4个值。</p>
- <p class="Head3">语法</p>
- <p class="Paragraph">KURT(number_1; number_2; ...number_30)</p>
- <p class="Paragraph"><span class="T1">number_1; number_2; ...number_30</span>是需要计算其峰值的1至30个数字参数。</p>
- <p class="Head3">示例</p>
- <p class="Paragraph">=KURT(A1;A2;A3;A4;A5;A6)</p>
- <help:embedded Id="65630" Eid="siehe" xmlns:help="http://openoffice.org/2000/help"/>
- <p class="Paragraph"><help:link Id="66834" Eid="schiefe" xmlns:help="http://openoffice.org/2000/help">SKEW</help:link>, <help:link Id="66834" Eid="stabw" xmlns:help="http://openoffice.org/2000/help">STDEV</help:link>, <help:link Id="66834" Eid="stabwn" xmlns:help="http://openoffice.org/2000/help">STDEVP</help:link>, <help:link Id="66834" Eid="varianz" xmlns:help="http://openoffice.org/2000/help">VAR</help:link>, <help:link Id="66834" Eid="varianzen" xmlns:help="http://openoffice.org/2000/help">VARP</help:link></p>
- <p class="Head2"><help:help-id value="HID_FUNC_LOGINV" xmlns:help="http://openoffice.org/2000/help"/><a name="loginv"/><help:key-word value="LOGINV" tag="kw66812_3" xmlns:help="http://openoffice.org/2000/help"/>LOGINV</p>
- <p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">反馈随机变量的对数正态分布累积函数的逆函数。</help:help-text></p>
- <p class="Head3">语法</p>
- <p class="Paragraph">LOGINV(probability; mean; standard_dev)</p>
- <p class="Paragraph"><span class="T1">probability</span>是与对数正态分布相关的概率。</p>
- <p class="Paragraph"><span class="T1">mean</span>是对数正态分布的平均数。</p>
- <p class="Paragraph"><span class="T1">standard_dev</span>是对数正态分布的标准偏差。</p>
- <p class="Head3">示例</p>
- <p class="Paragraph">=LOGINV(0.05; 0; 1)等于0.19。</p>
- <help:embedded Id="65630" Eid="siehe" xmlns:help="http://openoffice.org/2000/help"/>
- <p class="Paragraph"><help:link Id="66824" Eid="exp" xmlns:help="http://openoffice.org/2000/help">EXP</help:link>, <help:link Id="66824" Eid="ln" xmlns:help="http://openoffice.org/2000/help">LN</help:link>, <help:link Id="66824" Eid="log" xmlns:help="http://openoffice.org/2000/help">LOG</help:link>, <help:link Id="66824" Eid="log10" xmlns:help="http://openoffice.org/2000/help">LOG10</help:link>, <help:link Id="66812" Eid="lognormvert" xmlns:help="http://openoffice.org/2000/help">LOGNORMDIST</help:link></p>
- <p class="Head2"><help:help-id value="HID_FUNC_LOGNORMVERT" xmlns:help="http://openoffice.org/2000/help"/><a name="lognormvert"/><help:key-word value="LOGNORMDIST" tag="kw66812_2" xmlns:help="http://openoffice.org/2000/help"/>LOGNORMDIST</p>
- <p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">反馈随机变量的对数正态分布的累积函数。</help:help-text></p>
- <p class="Head3">语法</p>
- <p class="Paragraph">LOGNORMDIST(number; mean; standard_dev)</p>
- <p class="Paragraph"><span class="T1">number</span>是用来计算函数的概率。</p>
- <p class="Paragraph"><span class="T1">mean</span>是对数正态分布的平均数。</p>
- <p class="Paragraph"><span class="T1">standard_dev</span>是对数正态分布的标准偏差。</p>
- <p class="Head3">示例</p>
- <p class="Paragraph">=LOGNORMDIST(0.1; 0; 1)等于0.01。</p>
- <help:embedded Id="65630" Eid="siehe" xmlns:help="http://openoffice.org/2000/help"/>
- <p class="Paragraph"><help:link Id="66824" Eid="exp" xmlns:help="http://openoffice.org/2000/help">EXP</help:link>, <help:link Id="66824" Eid="ln" xmlns:help="http://openoffice.org/2000/help">LN</help:link>, <help:link Id="66824" Eid="log" xmlns:help="http://openoffice.org/2000/help">LOG</help:link>, <help:link Id="66824" Eid="log10" xmlns:help="http://openoffice.org/2000/help">LOG10</help:link>, <help:link Id="66812" Eid="loginv" xmlns:help="http://openoffice.org/2000/help">LOGINV</help:link></p>
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