<p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">Returns the k-th largest value in a data set.</help:help-text></p>
<p class="Head3">Syntax</p>
<p class="Paragraph">LARGE(Data; Rank K)</p>
<p class="Paragraph"><span class="T1">Data</span> is the matrix of data in the random sample.</p>
<p class="Paragraph"><span class="T1">Rank K</span> is the rank of the value.</p>
<p class="Head3">Example</p>
<p class="Paragraph">=LARGE(A1:C50; 2) gives the second largest value in A1:C50.</p>
<p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">Returns the k-th smallest value in a data set.</help:help-text></p>
<p class="Head3">Syntax</p>
<p class="Paragraph">SMALL(Data; Rank K)</p>
<p class="Paragraph"><span class="T1">Data</span> is the matrix of data in the random sample.</p>
<p class="Paragraph"><span class="T1">Rank K</span> <text:s text:c="" xmlns:text="http://openoffice.org/2000/text"/>is the rank of the value.</p>
<p class="Head3">Example</p>
<p class="Paragraph">=SMALL(A1:C50; 2) gives the second smallest value in A1:C50.</p>
<p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">Returns the confidence interval for a population mean.</help:help-text></p>
<p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">Returns the correlation coefficient between two data sets.</help:help-text></p>
<p class="Head3">Syntax</p>
<p class="Paragraph">CORREL(Data 1; Data 2)</p>
<p class="Paragraph"><span class="T1">Data 1</span> is the matrix of the first record.</p>
<p class="Paragraph"><span class="T1">Data 2</span> is the matrix of the second record.</p>
<p class="Head3">Example</p>
<p class="Paragraph">=CORREL(A1:A50; B1:B50) calculates the correlation coefficient as a measure of the linear relation between the two data rows.</p>
<p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">Returns the covariance of the product of paired deviations.</help:help-text></p>
<p class="Head3">Syntax</p>
<p class="Paragraph">COVAR(Data 1; Data 2)</p>
<p class="Paragraph"><span class="T1">Data 1</span> is the matrix of the first record.</p>
<p class="Paragraph"><span class="T1">Data 2</span> is the matrix of the second record.</p>
<p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">Returns the smallest value for which the cumulative binomial distribution is less than or equal to a criterion value.</help:help-text></p>
<p class="Head3">Syntax</p>
<p class="Paragraph">CRITBINOM(N; W; Alpha)</p>
<p class="Paragraph"><span class="T1">N</span> is the total number of attempts.</p>
<p class="Paragraph"><span class="T1">W</span> is the probability of success for one attempt.</p>
<p class="Paragraph"><span class="T1">Alpha</span> is the threshold probability to be reached or exceeded.</p>
<p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">Returns the kurtosis of a data set (at least 4 values required).</help:help-text></p>
<p class="Head3">Syntax</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> are numeric arguments representing a random sample of distribution.</p>
<p class="Paragraph"><help:help-text value="visible" xmlns:help="http://openoffice.org/2000/help">Returns the inverse of the lognormal distribution.</help:help-text></p>
<p class="Head3">Syntax</p>
<p class="Paragraph">LOGINV(Number; MV; STD)</p>
<p class="Paragraph"><span class="T1">Number</span> is the probability value for which the inverse standard logarithmic distribution is to be calculated.</p>
<p class="Paragraph"><span class="T1">MV</span> is the mean value of the standard logarithmic distribution.</p>
<p class="Paragraph"><span class="T1">STD</span> <text:s text:c="" xmlns:text="http://openoffice.org/2000/text"/>is the standard deviation of the standard logarithmic distribution.</p>