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2,989 bytes added , 02:38, 25 October 2013

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'''KURT'''(N'''1''',N2,...)

'''Where N1,N2,.... '''are the arguments to calculate the kurtosis.

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This function calculates the relative peakedness or flatness of a distribution compared with the normal distribution.

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·          Arguments can be numbers or names, arrays, or references.

·          Logical values and text representations of numbers are calculated.

·        KURT shows the error value, when there are fewer than four data points, or the SD of the sample equals zero.

Formulas:-

·          Kurtosis is defined as:

where s is the sample standard deviation.

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KURT

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{| class="MsoNormalTable" cellspacing="3"
| valign="top" |
<font face="Arial">Lets see an example,</font>

<font face="Arial">KURT(N1,N2,....)</font>

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'''<font face="Arial">B</font>'''

<font face="Arial"></font>8

9

10

4

5

3

10

<font face="Arial"><nowiki>=KURT(B2:B8) is -2.0947</nowiki></font>

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<div id="10SpaceContent" class="zcontent" align="left"><div class="ZEditBox" align="justify">Syntax </div><div class="ZEditBox"><center></center></div></div>
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<div id="4SpaceContent" class="zcontent" align="left"><div class="ZEditBox" align="justify">Remarks </div></div>
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<div id="3SpaceContent" class="zcontent" align="left"><div class="ZEditBox" align="justify">Examples </div></div>
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<div id="11SpaceContent" class="zcontent" align="left"><div class="ZEditBox" align="justify">Description </div></div>
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| class="sshl_f " | 8
| class="sshl_f" | -2.094675
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| class="sshl_f " | 9
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| class="sshl_f " | 3
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| class="sshl_f " | 10
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<div align="left">[[Image:calci1.gif]]</div></div>
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Revision as of 02:38, 25 October 2013