Difference between revisions of "Manuals/calci/CONFIDENCE"

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(Created page with "<div id="6SpaceContent" class="zcontent" align="left"> <font size="3"><font face="Times New Roman">'''CONFIDENCE''' ('''alpha''',''' SD''',''' n''')</font></font> <font ...")
 
 
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<div style="font-size:30px">'''CONFIDENCE (Alpha,StandardDeviation,Size)'''</div><br/>
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*<math>Alpha</math>  is alpha value which is indicating the significance level.
 +
*<math>StandardDeviation</math> is the value of the standard deviation.
 +
*<math>Size</math> is the size of the sample.
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**CONFIDENCE(), returns the confidence interval for a population mean.
  
<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>
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==Description==
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*This function gives value of the confidence intervals.
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*Confidence intervals are calculated based on the standard error of a measurement.
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*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 <math>CONFIDENCE (Alpha,StandardDeviation,Size)</math> , <math>Alpha</math> is the alpha value which is indicating the significance level used to find the value of the confidence level.
 +
*It equals <math>100*(1-Alpha)%</math>, or alpha of 0.05 indicates a 95 percent confidence level.
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*This value is <math> \pm </math> 1.96
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*<math> StandardDeviation </math> is the standard deviation of the population for the data range.
 +
*<math> Size </math> is the size of the sample.
 +
*Confidence interval is calculated using the following formula:
 +
    <math>Confidence interval = sample statistic + Margin of error</math>.
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*So  <math> confidence interval =\bar{x}\pm 1.96(\frac{\sigma}{\sqrt {s}})</math>
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*where <math>\bar{x}</math> 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.
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  2.Suppose <math>0\le Alpha\le1 </math>
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  3. value of s is less than 1.
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*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.
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*So the Confidence interval value is <math> 10\pm 1.296839= approximately[11.29,8.70]</math>.
  
</div>
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==ZOS==
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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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*The syntax is to calculate CONFIDENCE in ZOS is <math>CONFIDENCE (Alpha,StandardDeviation,Size)</math>.
 +
**<math>Alpha</math>  is  value of the significance level.
 +
*<math>Size</math> is the size of the sample.
 +
*For e.g., CONFIDENCE(0.2,3.1,20)
 +
*CONFIDENCE(0.67,8.3..10.3,51)
  
</div>
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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
  
<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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==Related Videos==
  
</div>
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{{#ev:youtube|siqx4PbqJ6s|280|center|CONFIDENCE}}
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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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{| id="TABLE3" class="SpreadSheet blue"
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==See Also==
|- class="even"
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*[[Manuals/calci/ZTEST | ZTEST ]]
| class="  " |
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*[[Manuals/calci/ZTESTEQUALMEANS | ZTESTEQUALMEANS ]]
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| class="  " | Column1
 
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| class="  " | Column3
 
| class="  " | Column4
 
|- class="odd"
 
| class=" " | Row1
 
| class=" " | 0.05
 
| class="sshl_f" | 0.993883
 
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|- class="even"
 
| class="  " | Row2
 
| class=" " | 3
 
| class="sshl_f SelectTD SelectTD" |
 
<div id="2Space_Handle" title="Click and Drag to resize CALCI Column/Row/Cell. It is EZ!"></div><div id="2Space_Copy" title="Click and Drag over to AutoFill other cells."></div>
 
| class="sshl_f" |
 
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|- class="odd"
 
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| class="sshl_f " | 35
 
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| Row4
 
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|- class="odd"
 
| class=" " | Row5
 
| class="sshl_f" |
 
| class="sshl_f" |
 
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| 0
 
|- class="even"
 
| class="sshl_f" | Row6
 
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| class="sshl_f" | Row7
 
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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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<div id="5SpaceContent" class="zcontent" align="left">
 
  
<font size="3"><font face="Times New Roman">Let’s see an example </font></font>
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==References==
 +
[http://en.wikipedia.org/wiki/Confidence_interval CONFIDENCE]
  
<font size="3">CONFIDENCE (alpha, SD, n)</font>
 
  
<font size="3"> </font>
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*[[Z_API_Functions | List of Main Z Functions]]
  
<font size="3">i.e. =CONFIDENCE (B2, B3, B4) is 0.9939</font>
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*[[ Z3 |  Z3 home ]]
 
 
</div>
 
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Latest revision as of 16:20, 7 August 2018

CONFIDENCE (Alpha,StandardDeviation,Size)


  • is alpha value which is indicating the significance level.
  • is the value of the standard deviation.
  • is the size of the sample.
    • CONFIDENCE(), returns the confidence interval for a population mean.


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 1.96
  • 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 .

ZOS

  • The syntax is to calculate CONFIDENCE in ZOS is .
    • is value of the significance level.
  • is the size of the sample.
  • For e.g., CONFIDENCE(0.2,3.1,20)
  • CONFIDENCE(0.67,8.3..10.3,51)

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


Related Videos

CONFIDENCE

See Also


References

CONFIDENCE