home *** CD-ROM | disk | FTP | other *** search
- <?xml version="1.0" encoding="utf-8"?>
- <html><head><title>A-E统计</title><meta name="filename" content="text/scalc/01/04060181"/><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">
-
- table.Tabelle1{
- }
- span.Tabelle1A{
- width:3.616cm;}
- span.Tabelle1B{
- width:7.23cm;}
- span.Tabelle1C{
- width:7.154cm;}
- td.Tabelle1A1{
- }
- td.Tabelle1C1{
- border-width:0.002cm; border-style:solid; border-color:#000000;}
- td.Tabelle1A2{
- }
- td.Tabelle1C2{
- }
- p.P1{
- }
- span.T1{
- font-weight:bold;}
- </style></head><body>
-
-
- <p class="P1"/>
- <p class="Head1"><help:to-be-embedded Eid="ae" xmlns:help="http://openoffice.org/2000/help"><help:link Id="66884">A-E统计</help:link></help:to-be-embedded></p>
- <p class="Head2"><help:help-id value="HID_FUNC_ACHSENABSCHNITT" xmlns:help="http://openoffice.org/2000/help"/><a name="achsenabschnitt"/><help:key-word value="INTERCEPT" tag="kw66884_1" xmlns:help="http://openoffice.org/2000/help"/>INTERCEPT</p>
- <p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">借助此函数您可以计算线性回归线与Y轴的交点。</help:help-text></p>
- <p class="Head3">语法</p>
- <p class="Paragraph">INTERCEPT(data_y; data_x)</p>
- <p class="Paragraph"><span class="T1">data_y</span>是因变量数据或数据组。</p>
- <p class="Paragraph"><span class="T1">data_x</span>是自变量数据或数据组。</p>
- <p class="Paragraph">参数必须是名称、数组或包含数字的引用。当然,也可以直接输入数字。</p>
- <p class="Head3">示例</p>
- <p class="Paragraph">以示例中工作表为例,选取单元格D3:D9作为y值,单元格C3:C9为x值,用INTERCEPT函数计算线性回归线与Y轴的交点。输入:</p>
- <p class="Paragraph">INTERCEPT(D3:D9;C3:C9) = 2.15。即结果等于2.15。</p>
- <help:embedded Id="65630" Eid="siehe" xmlns:help="http://openoffice.org/2000/help"/>
- <p class="Paragraph"><help:link Id="66884" Eid="bestimmtheitsmass" xmlns:help="http://openoffice.org/2000/help">RSQ</help:link>, <help:link Id="66889" Eid="pearson" xmlns:help="http://openoffice.org/2000/help">PEARSON</help:link>, <help:link Id="66878" Eid="rgp" xmlns:help="http://openoffice.org/2000/help">LINEST</help:link>, <help:link Id="66878" Eid="rkp" xmlns:help="http://openoffice.org/2000/help">LOGEST</help:link>, <help:link Id="66834" Eid="schaetzer" xmlns:help="http://openoffice.org/2000/help">FORECAST</help:link>, <help:link Id="66834" Eid="steigung" xmlns:help="http://openoffice.org/2000/help">SLOPE</help:link>, <help:link Id="66834" Eid="stfehleryx" xmlns:help="http://openoffice.org/2000/help">STEYX</help:link>, <help:link Id="66878" Eid="trend" xmlns:help="http://openoffice.org/2000/help">TREND</help:link>, <help:link Id="66878" Eid="variation" xmlns:help="http://openoffice.org/2000/help">GROWTH</help:link></p>
- <p class="Head2"><help:help-id value="HID_FUNC_ANZAHL" xmlns:help="http://openoffice.org/2000/help"/><a name="anzahl"/><help:key-word value="COUNT" tag="kw66884_14" xmlns:help="http://openoffice.org/2000/help"/>COUNT</p>
- <p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">此函数用于计算某一参数列表中包含的数字项的个数。</help:help-text>仅计算数字类型的数据项,文字项不计。单个的值相加。</p>
- <p class="Head3">语法</p>
- <p class="Paragraph">COUNT(value 1; value 2; ...value 30)</p>
- <p class="Paragraph"><span class="T1">value 1; value 2,...value 30</span>是包含或引用各种类型数据的参数。</p>
- <p class="Head3">示例</p>
- <p class="Paragraph">计算文本框<span class="T1">数值1-4</span>中的条目<span class="T1">2,4,6</span>和<span class="T1">acht</span>中数字项的个数。</p>
- <p class="Paragraph">COUNT(2;4;6;acht) = 3。即数字项的个数为<span class="T1">3</span>。</p>
- <help:embedded Id="65630" Eid="siehe" xmlns:help="http://openoffice.org/2000/help"/>
- <p class="Paragraph"><help:link Id="66884" Eid="anzahl2" xmlns:help="http://openoffice.org/2000/help">COUNTA</help:link>, <help:link Id="66856" Eid="dbanzahl" xmlns:help="http://openoffice.org/2000/help">DCOUNT</help:link>, <help:link Id="66856" Eid="dbanzahl2" xmlns:help="http://openoffice.org/2000/help">DCOUNTA</help:link>, <help:link Id="66889" Eid="mittelwert" xmlns:help="http://openoffice.org/2000/help">AVERAGE</help:link>, <help:link Id="66824" Eid="summe" xmlns:help="http://openoffice.org/2000/help">SUM</help:link></p>
- <p class="Head2"><help:help-id value="HID_FUNC_ANZAHL2" xmlns:help="http://openoffice.org/2000/help"/><a name="anzahl2"/><help:key-word value="COUNTA" tag="kw66884_13" xmlns:help="http://openoffice.org/2000/help"/>COUNTA</p>
- <p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">反馈参数组中非空值的数目。</help:help-text>包括文字项。单个的值相加。不包括空白单元格。</p>
- <p class="Head3">语法</p>
- <p class="Paragraph">COUNTA(value 1; value 2; ...value 30)</p>
- <p class="Paragraph"><span class="T1">value 1; value 2,...value 30</span>是要计数的1到30个值。</p>
- <p class="Head3">示例</p>
- <p class="Paragraph">计算文本框<span class="T1">数值1-4</span>中的条目<span class="T1">2,4,6</span>和<span class="T1">acht</span>中数字项的个数。</p>
- <p class="Paragraph">COUNTA(2;4;6;acht) = 4。即该数组中非空值的个数为<span class="T1">4</span>。</p>
- <help:embedded Id="65630" Eid="siehe" xmlns:help="http://openoffice.org/2000/help"/>
- <p class="Paragraph"><help:link Id="66884" Eid="anzahl" xmlns:help="http://openoffice.org/2000/help">COUNT</help:link>, <help:link Id="66856" Eid="dbanzahl" xmlns:help="http://openoffice.org/2000/help">DCOUNT</help:link>, <help:link Id="66856" Eid="dbanzahl2" xmlns:help="http://openoffice.org/2000/help">DCOUNTA</help:link>, <help:link Id="66889" Eid="mittelwert" xmlns:help="http://openoffice.org/2000/help">AVERAGE</help:link>, <help:link Id="66824" Eid="produkt" xmlns:help="http://openoffice.org/2000/help">PRODUCT</help:link>, <help:link Id="66824" Eid="summe" xmlns:help="http://openoffice.org/2000/help">SUM</help:link></p>
- <p class="Head2"><help:help-id value="HID_FUNC_B" xmlns:help="http://openoffice.org/2000/help"/><a name="b"/><help:key-word value="B" tag="kw66884_12" xmlns:help="http://openoffice.org/2000/help"/>B</p>
- <p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">计算二项式分布的试验结果概率。</help:help-text></p>
- <p class="Head3">语法</p>
- <p class="Paragraph">B(trials; probability_s; T_1; T-2)</p>
- <p class="Paragraph"><span class="T1">N</span>是试验次数。</p>
- <p class="Paragraph"><span class="T1">W</span>是单个试验的成功概率。</p>
- <p class="Paragraph"><span class="T1">S1</span>指定试验次数的下界。</p>
- <p class="Paragraph"><span class="T1">S2</span>(可选的)指定试验次数的上界。</p>
- <p class="Head3">示例</p>
- <p class="Paragraph">计算抛掷10次骰子中有两次掷中6点的概率。一次掷中6点(或其它任意一个点数)的概率为1/6,因此可列出下列计算公式:</p>
- <p class="Paragraph">=B(10; 1/6; 2)求得的概率结果为29%。</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></p>
- <p class="Head2"><help:help-id value="HID_FUNC_BESTIMMTHEITSMASS" xmlns:help="http://openoffice.org/2000/help"/><a name="bestimmtheitsmass"/><help:key-word value="RSQ" tag="kw66884_11" xmlns:help="http://openoffice.org/2000/help"/>RSQ</p>
- <p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">如果您想计算Pearson乘积矩相关系数的平方,只需在栏位键入要求的值。</help:help-text>R平方值是y方差和x方差的比例,也称作<help:key-word value="系数" tag="kw66884_10" xmlns:help="http://openoffice.org/2000/help"/>系数。</p>
- <p class="Head3">语法</p>
- <p class="Paragraph">RSQ(<span class="T1">data_y,data_x</span>)</p>
- <p class="Paragraph"><span class="T1">data_y</span>是某一矩阵或数据区域中的数据点。</p>
- <p class="Paragraph">data_x是某一矩阵或数据区域中的数据点。</p>
- <p class="Head3">示例</p>
- <p class="Paragraph">=RSQ(A1:A20; B1:B20)计算A和B列中的两个数组的Pearson乘积矩相关系数的平方。</p>
- <help:embedded Id="65630" Eid="siehe" xmlns:help="http://openoffice.org/2000/help"/>
- <p class="Paragraph"><help:link Id="66884" Eid="achsenabschnitt" xmlns:help="http://openoffice.org/2000/help">INTERCEPT</help:link>, <help:link Id="66812" Eid="korrel" xmlns:help="http://openoffice.org/2000/help">CORREL</help:link>, <help:link Id="66812" Eid="kovar" xmlns:help="http://openoffice.org/2000/help">COVAR</help:link>, <help:link Id="66889" Eid="pearson" xmlns:help="http://openoffice.org/2000/help">PEARSON</help:link>, <help:link Id="66878" Eid="rgp" xmlns:help="http://openoffice.org/2000/help">LINEST</help:link>, <help:link Id="66878" Eid="rkp" xmlns:help="http://openoffice.org/2000/help">LOGEST</help:link>, <help:link Id="66834" Eid="steigung" xmlns:help="http://openoffice.org/2000/help">SLOPE</help:link>, <help:link Id="66834" Eid="stfehleryx" xmlns:help="http://openoffice.org/2000/help">STEYX</help:link>, <help:link Id="66878" Eid="trend" xmlns:help="http://openoffice.org/2000/help">TREND</help:link></p>
- <p class="Head2"><help:help-id value="HID_FUNC_BETAINV" xmlns:help="http://openoffice.org/2000/help"/><a name="betainv"/><help:key-word value="BETAINV" tag="kw66884_9" xmlns:help="http://openoffice.org/2000/help"/>BETAINV</p>
- <p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">反馈beta分布累积函数的逆函数值。</help:help-text></p>
- <p class="Head3">语法</p>
- <p class="Paragraph">BETAINV(number,alpha,beta,Start,End)</p>
- <p class="Paragraph"><span class="T1">number</span>是用来进行函数计算的介于<span class="T1">Start</span>和<span class="T1">End</span>区间的之间的值。</p>
- <p class="Paragraph"><span class="T1">alpha</span>是分布的参数。</p>
- <p class="Paragraph"><span class="T1">beta</span>是分布的参数。</p>
- <p class="Paragraph"><span class="T1">Start</span>(可选的)是<span class="T1">number</span>的下界。</p>
- <p class="Paragraph"><span class="T1">End</span>(可选的)是<span class="T1">number</span>的上界。</p>
- <p class="Head3">示例</p>
- <p class="Paragraph">=BETAINV(0,5; 5; 10)等于<span class="T1">0.33</span>。</p>
- <help:embedded Id="65630" Eid="siehe" xmlns:help="http://openoffice.org/2000/help"/>
- <p class="Paragraph"><help:link Id="66884" Eid="betavert" xmlns:help="http://openoffice.org/2000/help">BETADIST</help:link></p>
- <p class="Head2"><help:help-id value="HID_FUNC_BETAVERT" xmlns:help="http://openoffice.org/2000/help"/><a name="betavert"/><help:key-word value="BETADIST" tag="kw66884_8" xmlns:help="http://openoffice.org/2000/help"/>BETADIST</p>
- <p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">反馈beta分布累积函数的函数值。</help:help-text></p>
- <p class="Head3">语法</p>
- <p class="Paragraph">BETADIST(number;alpha;beta;Start;End)</p>
- <p class="Paragraph"><span class="T1">number</span>是用来进行函数计算的介于<span class="T1">Start</span>和<span class="T1">End</span>区间之间的值。</p>
- <p class="Paragraph"><span class="T1">alpha</span>是分布的参数。</p>
- <p class="Paragraph"><span class="T1">beta</span>是分布的参数。</p>
- <p class="Paragraph"><span class="T1">Start</span>(可选的)是数值<span class="T1">number</span>所属区间的下界。</p>
- <p class="Paragraph"><span class="T1">End</span>(可选的)是数值<span class="T1">number</span>所属区间的上界。</p>
- <p class="Head3">示例</p>
- <p class="Paragraph">=BETADIST(0.75; 3; 4)等于<span class="T1">0.96</span>。</p>
- <help:embedded Id="65630" Eid="siehe" xmlns:help="http://openoffice.org/2000/help"/>
- <p class="Paragraph"><help:link Id="66884" Eid="betainv" xmlns:help="http://openoffice.org/2000/help">BETAINV</help:link></p>
- <p class="Head2"><help:help-id value="HID_FUNC_BINOMVERT" xmlns:help="http://openoffice.org/2000/help"/><a name="binomvert"/><help:key-word value="BINOMDIST" tag="kw66884_7" xmlns:help="http://openoffice.org/2000/help"/>BINOMDIST</p>
- <p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">反馈一元二项式分布的随机变量的概率值。</help:help-text></p>
- <p class="Head3">语法</p>
- <p class="Paragraph">BINOMDIST(number_s; trials; probability_s; cumulative)</p>
- <p class="Paragraph"><span class="T1">number_s</span>是试验成功的次数。</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">cumulative</span> = 0,返回概率密度函数,<span class="T1">cumulative</span> = 1返回累积分布函数。</p>
- <p class="Head3">示例</p>
- <p class="Paragraph">如果抛掷12次硬币,A1代表成功掷得<span class="T1">正面</span>朝上的次数,则用函数=BINOMDIST(A1; 12; 0.5; 0)求得的值是12次中A1次正面朝上的概率。</p>
- <p class="Paragraph">=BINOMVERT(A1; 12; 0,5; 1)求得的值是累积次数,例如当A1 = 4时,那么求得的值代表的是0、1、2、3或4次<span class="T1">正面</span>朝上的概率。</p>
- <help:embedded Id="65630" Eid="siehe" xmlns:help="http://openoffice.org/2000/help"/>
- <p class="Paragraph"><help:link Id="66884" Eid="b" xmlns:help="http://openoffice.org/2000/help">B</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="66812" Eid="kritbinom" xmlns:help="http://openoffice.org/2000/help">CRITBINOM</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_CHIINV" xmlns:help="http://openoffice.org/2000/help"/><a name="chiinv"/><help:key-word value="CHIINV" tag="kw66884_6" xmlns:help="http://openoffice.org/2000/help"/>CHIINV</p>
- <p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">为某一指定的错误概率计算Chi平方分布理论值(期望值)。要使待检测的初始假设有效,观察值不能超过理论值。</help:help-text></p>
- <p class="Paragraph">Chi平方分布是一个统计分布函数,"Chi平方检验"在此函数基础上进行。"Chi平方检验"函数检验假设是否有效:如果观察值符合规定的分布规律(即Chi平方分布),则假设成立。假设成立的前提是观察的Chi平方分布(即假设Chi平方分布)与理论Chi平方分布必须一致(至少大致相同)。</p>
- <p class="Paragraph">通过</p>
- <p class="Paragraph">(观察值-期望值)^2/期望值</p>
- <p class="Paragraph">计算出用于所有数值的Chi平方值。</p>
- <p class="Paragraph">Chi平方是反映观察值与理论值偏差的比值,因此如果由某一具体抽样样本计算出的Chi平方超过规定的临界值,则初始假设无效。函数CHIINV由给定的错误概率和自由度计算出这一临界值。此外,您也可以通过数学查找栏找到这个函数。</p>
- <p class="Head3">语法</p>
- <p class="Paragraph">CHIINV(number; degrees_freedom)</p>
- <p class="Paragraph"><span class="T1">number</span>是需要计算CHIINV临界值(确保假设成立的概率值)的错误概率值。</p>
- <p class="Paragraph"><span class="T1">degrees_freedom</span>是试验的自由度。</p>
- <p class="Head3">示例</p>
- <p class="Paragraph">抛掷1020次骰子。1至6点分别出现的次数为195、151、148、189、183和154(观察值)。检验假设:骰子是否是真的。</p>
- <p class="Paragraph">用上述公式计算抽样样本的Chi平方分布。掷出某一点的期望值为抛掷次数乘以1/6,即1020/6 = 170,公式计算出Chi平方值为13.27。</p>
- <p class="Paragraph">如果Chi平方观察值大于或等于CHIINV的Chi平方理论值,则假设不成立,因为理论与试验之间的偏差太大。若Chi平方观察值小于CHIINV求出的值,则假设符合规定的错误概率值。</p>
- <p class="Paragraph">=CHIINV(0.05; 5)等于11.07。</p>
- <p class="Paragraph">=CHIINV(0.02; 5)等于13.39。</p>
- <p class="Paragraph">当错误概率为5%时,假设中的的骰子不是真的;当错误概率为2%,假设成立,即骰子是真的。</p>
- <help:embedded Id="65630" Eid="siehe" xmlns:help="http://openoffice.org/2000/help"/>
- <p class="Paragraph"><help:link Id="66884" Eid="chitest" xmlns:help="http://openoffice.org/2000/help">CHITEST</help:link>, <help:link Id="66884" Eid="chivert" xmlns:help="http://openoffice.org/2000/help">CHIDIST</help:link></p>
- <p class="Head2"><help:help-id value="HID_FUNC_CHITEST" xmlns:help="http://openoffice.org/2000/help"/><a name="chitest"/><help:key-word value="CHITEST" tag="kw66884_5" xmlns:help="http://openoffice.org/2000/help"/>CHITEST</p>
- <p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">根据Chi平方检验,由测试数据直接计算初始假设成立的概率。</help:help-text>同时比较抽样样本的观察值与期望值:CHITEST比较这两个数据组,并通过(观察值-期望值)^2/期望值公式计算出用于所有数值的Chi平方值。由计算出的Chi平方值最终求得待检验的初始假设的错误概率。</p>
- <p class="Paragraph">您也可以通过CHIDIST计算出CHITEST求得的概率,但必须将CHITEST中作为参数的数据组用抽样样本的Chi平方来代替。</p>
- <p class="Head3">语法</p>
- <p class="Paragraph">CHITEST(data B; data E)</p>
- <p class="Paragraph"><span class="T1">data B</span>是观察值的数据矩阵。</p>
- <p class="Paragraph"><span class="T1">data E</span>是期待值的数据矩阵。</p>
- <p class="Head3">示例</p>
- <table border="1" bordercolor="#000000" cellpadding="2" cellspacing="0" page-break-inside="page-break-inside:avoid"><tr class=""><th class="Tabelle1A1" style="text-align:left;"><span class="Tabelle1A">
- <p class="Paragraph"/>
- </span></th><th class="Tabelle1A1" style="text-align:left;"><span class="Tabelle1B">
- <p class="Paragraph">A (观察值)</p>
- </span></th><th class="Tabelle1C1" style="text-align:left;"><span class="Tabelle1C">
- <p class="Paragraph">B (期待值)</p>
- </span></th></tr><tr class=""><td class="Tabelle1A2" style="text-align:left;"><span class="Tabelle1A">
- <p class="Paragraph">1</p>
- </span></td><td class="Tabelle1A2" style="text-align:left;"><span class="Tabelle1B">
- <p class="Paragraph">195</p>
- </span></td><td class="Tabelle1C2" style="text-align:left;"><span class="Tabelle1C">
- <p class="Paragraph">170</p>
- </span></td></tr><tr class=""><td class="Tabelle1A2" style="text-align:left;"><span class="Tabelle1A">
- <p class="Paragraph">2</p>
- </span></td><td class="Tabelle1A2" style="text-align:left;"><span class="Tabelle1B">
- <p class="Paragraph">151</p>
- </span></td><td class="Tabelle1C2" style="text-align:left;"><span class="Tabelle1C">
- <p class="Paragraph">170</p>
- </span></td></tr><tr class=""><td class="Tabelle1A2" style="text-align:left;"><span class="Tabelle1A">
- <p class="Paragraph">3</p>
- </span></td><td class="Tabelle1A2" style="text-align:left;"><span class="Tabelle1B">
- <p class="Paragraph">148</p>
- </span></td><td class="Tabelle1C2" style="text-align:left;"><span class="Tabelle1C">
- <p class="Paragraph">170</p>
- </span></td></tr><tr class=""><td class="Tabelle1A2" style="text-align:left;"><span class="Tabelle1A">
- <p class="Paragraph">4</p>
- </span></td><td class="Tabelle1A2" style="text-align:left;"><span class="Tabelle1B">
- <p class="Paragraph">189</p>
- </span></td><td class="Tabelle1C2" style="text-align:left;"><span class="Tabelle1C">
- <p class="Paragraph">170</p>
- </span></td></tr><tr class=""><td class="Tabelle1A2" style="text-align:left;"><span class="Tabelle1A">
- <p class="Paragraph">5</p>
- </span></td><td class="Tabelle1A2" style="text-align:left;"><span class="Tabelle1B">
- <p class="Paragraph">183</p>
- </span></td><td class="Tabelle1C2" style="text-align:left;"><span class="Tabelle1C">
- <p class="Paragraph">170</p>
- </span></td></tr><tr class=""><td class="Tabelle1A2" style="text-align:left;"><span class="Tabelle1A">
- <p class="Paragraph">6</p>
- </span></td><td class="Tabelle1A2" style="text-align:left;"><span class="Tabelle1B">
- <p class="Paragraph">154</p>
- </span></td><td class="Tabelle1C2" style="text-align:left;"><span class="Tabelle1C">
- <p class="Paragraph">170</p>
- </span></td></tr></table>
- <p class="Paragraph"/>
- <p class="Paragraph">=CHITEST(A1:A6; B1:B6)等于0.02。求出的结果表示观察数据符合理论Chi平方分布的概率值。</p>
- <help:embedded Id="65630" Eid="siehe" xmlns:help="http://openoffice.org/2000/help"/>
- <p class="Paragraph"><help:link Id="66884" Eid="chiinv" xmlns:help="http://openoffice.org/2000/help">CHIINV</help:link>, <help:link Id="66884" Eid="chivert" xmlns:help="http://openoffice.org/2000/help">CHIDIST</help:link></p>
- <p class="Head2"><help:help-id value="HID_FUNC_CHIVERT" xmlns:help="http://openoffice.org/2000/help"/><a name="chivert"/><help:key-word value="CHIDIST" tag="kw66884_4" xmlns:help="http://openoffice.org/2000/help"/>CHIDIST</p>
- <p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">利用指定的Chi平方值计算假设成立的概率值。</help:help-text>CHIDIST比较某一抽样样本得出的Chi平方值(该值通过利用公式(观察值-期望值)^2/期望值求得的用于所有值的数值得出)与理论Chi平方分布,并由此计算出待检验的假设得错误概率。</p>
- <p class="Paragraph">您也可以通过CHITEST计算出由CHIDIST求得的概率,但必须将CHIDIST中作为参数的Chi平方用观察和期待数据代替。</p>
- <p class="Head3">语法</p>
- <p class="Paragraph">CHIDIST(number; degrees_freedom)</p>
- <p class="Paragraph"><span class="T1">number</span>是抽样样本的Chi平方值,用来计算需要确定的错误概率。</p>
- <p class="Paragraph"><span class="T1">degrees_freedom</span>是试验的自由度。</p>
- <p class="Head3">示例</p>
- <p class="Paragraph">=CHIVERT(13.27; 5)等于0.02。</p>
- <p class="Paragraph">抽样样本的Chi平方值是13.27,试验自由度为5,那么确保假设成立的错误概率为2%。</p>
- <help:embedded Id="65630" Eid="siehe" xmlns:help="http://openoffice.org/2000/help"/>
- <p class="Paragraph"><help:link Id="66884" Eid="chiinv" xmlns:help="http://openoffice.org/2000/help">CHIINV</help:link>, <help:link Id="66884" Eid="chitest" xmlns:help="http://openoffice.org/2000/help">CHITEST</help:link></p>
- <p class="Head2"><help:help-id value="HID_FUNC_EXPONVERT" xmlns:help="http://openoffice.org/2000/help"/><a name="exponvert"/><help:key-word value="EXPONDIST" tag="kw66884_3" xmlns:help="http://openoffice.org/2000/help"/>EXPONDIST</p>
- <p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">计算指数分布随机变量的概率。</help:help-text></p>
- <p class="Head3">语法</p>
- <p class="Paragraph">EXPONDIST(number; lambda; cumulative)</p>
- <p class="Paragraph"><span class="T1">number</span>是用来计算指数分布的值。</p>
- <p class="Paragraph"><span class="T1">lambda</span>是指数分布的参数。</p>
- <p class="Paragraph"><span class="T1">cumulative</span>如果k = 0时,返回<help:key-word value="概率密度函数" tag="kw66884_2" xmlns:help="http://openoffice.org/2000/help"/>概率密度函数,如果<span class="T1">cumulative</span> = 1,返回累积分布函数。</p>
- <p class="Head3">示例</p>
- <p class="Paragraph">=EXPONDIST(3; 0,5; 1)等于0.78。</p>
- <help:embedded Id="65630" Eid="siehe" xmlns:help="http://openoffice.org/2000/help"/>
- <p class="Paragraph"><help:link Id="66918" Eid="gammavert" xmlns:help="http://openoffice.org/2000/help">GAMMADIST</help:link>, <help:link Id="66889" Eid="poisson" xmlns:help="http://openoffice.org/2000/help">POISSON</help:link></p>
- </body></html>