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 <body><p>&nbsp;</p><div> <table class="tc" style="margin-left: 0;" width="90%"><tbody><tr><th colspan="3">Test Case AOOTest-364: Data-)Subtotals_Function Var(sample).&nbsp;<span style="font-size: 80%;">[Version  : 1]</span></th></tr>
 <tr><td width="20%" valign="top"><span class="label">Author:</span></td><td colspan="2">undefined - 24/10/2012 14:22:30</td></tr>
 <tr><td width="20%" valign="top"><span class="label">Last edit by:</span></td><td colspan="2">undefined - 28/01/2014 02:49:10</td></tr>
 <tr><td colspan="3"><span class="label">Preconditions:</span><br><p>1.Launch application.  2.Create a new spreadsheet document.  3.Insert some data for Subtotals.  Following data as a reference:</p>
 <p><img alt="" src="data:image/png;base64,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"></p>
 <p>&nbsp;</p></td></tr><tr><td><span class="label">#:</span></td><td><span class="label">Step actions:</span></td><td><span class="label">Expected Results:</span></td></tr><tr><td width="5">1</td><td><p></p>
 	<actions><!--[CDATA[</p--></actions></td><td><p>Expected Results</p>
 <p></p>
 <p></p></td></tr><tr><td width="5">2</td><td><p>Select the cell range
 that you want to calculate subtotals for. (The contents in the first row
  will be regarded as  column labels)</p>
 <p></p>
 	<actions><!--[CDATA[</p--></actions></td><td><p></p>
 <p></p></td></tr><tr><td width="5">3</td><td><p>Click 'Data-) Subtotals'.</p>
 <p></p>
 	<actions><!--[CDATA[</p--></actions></td><td><p>The 'Subtotal' dialog
 appears. The current tab page is '1st Group'. The combo box 'Group by'
 use the first column label as its default value.</p>
 <p></p>
 <p></p></td></tr><tr><td width="5">4</td><td><p>In the 'Group by' combo box select label of a column which contains numbers or characters to group the data.</p>
 <p></p>
 	<actions><!--[CDATA[</p--></actions></td><td><p></p>
 <p></p></td></tr><tr><td width="5">5</td><td><p>In the 'Calculate subtotals for' box, select a check box of the column labels that you want to subtotal.</p>
 <p></p>
 	<actions><!--[CDATA[</p--></actions></td><td><p></p>
 <p></p></td></tr><tr><td width="5">6</td><td><p>In the 'Use function' box, select the function 'Var(sample)'.</p>
 <p></p>
 	<actions><!--[CDATA[</p--></actions></td><td><p></p>
 <p></p></td></tr><tr><td width="5">7</td><td><p>Click 'OK' button.</p>
 <p></p>
 	<actions><!--[CDATA[</p--></actions></td><td><p>The subtotal result is displayed in hierarchy according to the 1st group option specified.</p>
 <p></p>
 <p></p></td></tr><tr><td width="5">8</td><td><p>Click the cell that contains the result of subtotal.</p>
 <p></p>
 	<actions><!--[CDATA[</p--></actions></td><td><p>There is a formula =SUBTOTAL(10,...) shown in formula bar.</p>
 <p>Estimates variance based on a sample.</p>
 <p>Using follow formula:</p>
 <p>  ('n' is an integer and n)1)</p>
 <p>The result is correct.</p>
 <p></p>
 <p></p></td></tr><tr><td width="20%" valign="top"><span class="label">Execution type:</span></td><td colspan="2">Manual</td></tr>
 <tr><td width="20%" valign="top"><span class="label">Importance:</span></td><td colspan="2">Medium</td></tr>
 <tr><td colspan="3"></td></tr><tr><td> Test Focus:</td><td colspan="2"></td></tr>
 <tr><td> Feature first available at which release:</td><td colspan="2"></td></tr>
 <tr><td> Automation script name:</td><td colspan="2"></td></tr>
 <tr><td> Testsuite set:</td><td colspan="2"></td></tr>
 <tr><td width="20%" valign="top"><span class="label">Requirements</span></td><td colspan="2">&nbsp;None<br></td></tr>
 <tr><td width="20%" valign="top"><span class="label">Keywords:</span></td><td colspan="2">&nbsp;None<br></td></tr>
 </tbody></table>
 </div>
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	<body><p> </p><div> <table class="tc" style="margin-left: 0;" width="90%"><tbody><tr><th colspan="3">Test Case AOOTest-364: Data-)Subtotals_Function Var(sample). <span style="font-size: 80%;">[Version : 1]</span></th></tr>
	<tr><td width="20%" valign="top"><span class="label">Author:</span></td><td colspan="2">undefined - 24/10/2012 14:22:30</td></tr>
	<tr><td width="20%" valign="top"><span class="label">Last edit by:</span></td><td colspan="2">undefined - 28/01/2014 02:49:10</td></tr>
	<tr><td colspan="3"><span class="label">Preconditions:</span><br><p>1.Launch application. 2.Create a new spreadsheet document. 3.Insert some data for Subtotals. Following data as a reference:</p>
	<p><img alt="" src="data:image/png;base64,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"></p>
	<p> </p></td></tr><tr><td><span class="label">#:</span></td><td><span class="label">Step actions:</span></td><td><span class="label">Expected Results:</span></td></tr><tr><td width="5">1</td><td><p></p>
	<actions><!--[CDATA[</p--></actions></td><td><p>Expected Results</p>
	<p></p>
	<p></p></td></tr><tr><td width="5">2</td><td><p>Select the cell range
	that you want to calculate subtotals for. (The contents in the first row
	will be regarded as column labels)</p>
	<p></p>
	<actions><!--[CDATA[</p--></actions></td><td><p></p>
	<p></p></td></tr><tr><td width="5">3</td><td><p>Click 'Data-) Subtotals'.</p>
	<p></p>
	<actions><!--[CDATA[</p--></actions></td><td><p>The 'Subtotal' dialog
	appears. The current tab page is '1st Group'. The combo box 'Group by'
	use the first column label as its default value.</p>
	<p></p>
	<p></p></td></tr><tr><td width="5">4</td><td><p>In the 'Group by' combo box select label of a column which contains numbers or characters to group the data.</p>
	<p></p>
	<actions><!--[CDATA[</p--></actions></td><td><p></p>
	<p></p></td></tr><tr><td width="5">5</td><td><p>In the 'Calculate subtotals for' box, select a check box of the column labels that you want to subtotal.</p>
	<p></p>
	<actions><!--[CDATA[</p--></actions></td><td><p></p>
	<p></p></td></tr><tr><td width="5">6</td><td><p>In the 'Use function' box, select the function 'Var(sample)'.</p>
	<p></p>
	<actions><!--[CDATA[</p--></actions></td><td><p></p>
	<p></p></td></tr><tr><td width="5">7</td><td><p>Click 'OK' button.</p>
	<p></p>
	<actions><!--[CDATA[</p--></actions></td><td><p>The subtotal result is displayed in hierarchy according to the 1st group option specified.</p>
	<p></p>
	<p></p></td></tr><tr><td width="5">8</td><td><p>Click the cell that contains the result of subtotal.</p>
	<p></p>
	<actions><!--[CDATA[</p--></actions></td><td><p>There is a formula =SUBTOTAL(10,...) shown in formula bar.</p>
	<p>Estimates variance based on a sample.</p>
	<p>Using follow formula:</p>
	<p> ('n' is an integer and n)1)</p>
	<p>The result is correct.</p>
	<p></p>
	<p></p></td></tr><tr><td width="20%" valign="top"><span class="label">Execution type:</span></td><td colspan="2">Manual</td></tr>
	<tr><td width="20%" valign="top"><span class="label">Importance:</span></td><td colspan="2">Medium</td></tr>
	<tr><td colspan="3"></td></tr><tr><td> Test Focus:</td><td colspan="2"></td></tr>
	<tr><td> Feature first available at which release:</td><td colspan="2"></td></tr>
	<tr><td> Automation script name:</td><td colspan="2"></td></tr>
	<tr><td> Testsuite set:</td><td colspan="2"></td></tr>
	<tr><td width="20%" valign="top"><span class="label">Requirements</span></td><td colspan="2"> None<br></td></tr>
	<tr><td width="20%" valign="top"><span class="label">Keywords:</span></td><td colspan="2"> None<br></td></tr>
	</tbody></table>
	</div>
	</body></html>