Difference between revisions of "Manuals/calci/CONFIDENCE"

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*So the Confidence interval value is <math> 10\plusmn 1.296839= approximately[11.29,8.70]</math>.
 
*So the Confidence interval value is <math> 10\plusmn 1.296839= approximately[11.29,8.70]</math>.
  
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==Examples==
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#=CONFIDENCE(0.6,4.6,20) = 0.539393789
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#=CONFIDENCE(0.09,8.1,25) = 2.746544290
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#=CONFIDENCE(0.001,18.8,50) = 8.74859415
  
  
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==See Also==
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*[[Manuals/calci/ZTEST | ZTEST ]]
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*[[Manuals/calci/ZTESTEQUALMEANS | ZTESTEQUALMEANS ]]
  
  
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==References==
 
 
<font size="3"><font face="Times New Roman">'''CONFIDENCE''' ('''alpha''',''' SD''',''' n''')</font></font>
 
 
 
<font size="3"><font face="Times New Roman">Where alpha is the significance level, SD is the population standard deviation for the data range and N is the sample size.</font></font>
 
 
 
</div>
 
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<div id="1SpaceContent" class="zcontent" align="left"><font size="3"><font face="Times New Roman"> This function returns a value that can be use to construct a confidence interval for a population mean. </font></font>
 
 
 
<font size="3" face="Times New Roman"> </font>
 
 
 
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<font size="3">·</font>        <font size="3"><font face="Times New Roman">CONFIDENCE returns the error value, when any argument is nonnumeric or alpha is less than or equal to 0 or grater than equal to 1. </font></font>
 
 
 
<font size="3">·</font>        <font size="3"><font face="Times New Roman">CONFIDENCE returns the error value when SD is less than or equal to 0 or n is less than 1. </font></font>
 
 
 
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<div id="12SpaceContent" class="zcontent" align="left"><div class="ZEditBox" align="left">CONFIDENCE</div></div>
 
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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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<div align="left">[[Image:calci1.gif]]</div></div>
 
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<div id="8SpaceContent" class="zcontent" align="left"><font size="3"><font face="Times New Roman">''' <font size="3"><font face="Times New Roman">AVEDEV (N1, N2...)</font></font> <font size="3"><font face="Times New Roman">Where N1, N 2 ...   are positive integers.</font></font> '''</font></font></div>
 
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<font size="3"><font face="Times New Roman">Let’s see an example </font></font>
 
 
 
<font size="3">CONFIDENCE (alpha, SD, n)</font>
 
 
 
<font size="3"> </font>
 
 
 
<font size="3">i.e. =CONFIDENCE (B2, B3, B4) is 0.9939</font>
 
 
 
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Revision as of 03:38, 28 March 2014

CONFIDENCE(a,sd,s)


  • is alpha value which is indicating the significance level.
  • is the standard deviation.
  • is the size of the sample.


Description

  • This function gives value of the confidence intervals.
  • Confidence intervals are calculated based on the standard error of a measurement.
  • It is measures the probability that a population parameter will fall between lower bound and upper bound of the values.
  • There are four steps to constructing a confidence interval.
   1. Identify a sample statistic.
   2. Select a confidence level. 
   3. Find the margin of error.
   4. Specify the confidence interval. 
  • Normally once standard error value is calculated, the confidence interval is determined by multiplying the standard error by a constant that reflects the level of significance desired, based on the normal distribution.
  • In , is the alpha value which is indicating the significance level used to find the value of the confidence level.
  • It equals , or alpha of 0.05 indicates a 95 percent confidence level.
  • This value is .
  • is the standard deviation of the population for the data range.
  • is the size of the sample.
  • Confidence interval is calculated using the following formula:
    . 
  • So
  • where is the sample mean,sigma is the standard deviation.
  • This function will give the result as error when
 1. Any one of the argument is nonnumeric. 
 2.Suppose 
 3. value of s is less than 1.
  • Suppose with the population of 10 for the standard deviation 3.2, with the alpha value 0.2 then, CONFIDENCE(0.2,3.2,10) =1.296839.
  • So the Confidence interval value is .

Examples

  1. =CONFIDENCE(0.6,4.6,20) = 0.539393789
  2. =CONFIDENCE(0.09,8.1,25) = 2.746544290
  3. =CONFIDENCE(0.001,18.8,50) = 8.74859415


See Also


References