Difference between revisions of "Manuals/calci/TTESTEQUALVARIANCES"

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*This function calculating the two Sample for equal variances determines whether two sample means are equal.  
 
*This function calculating the two Sample for equal variances determines whether two sample means are equal.  
 
*We can use this test when both:
 
*We can use this test when both:
*1.the two sample sizes  are equal;
+
*1.The two sample sizes  are equal;
*2.it can be assumed that the two distributions have the same variance.
+
*2.It can be assumed that the two distributions have the same variance.
*In TTESTTWOSAMPLESEQUALVARIANCES(ar1,ar2,md,alpha,lv), ar1 and ar2 are two arrays of sample values.md is the Hypothesized Mean Difference .
+
*In <math>TTESTTWOSAMPLESEQUALVARIANCES(ar1,ar2,md,alpha,lv), ar1 </math> and <math> ar2 </math> are two arrays of sample values. <math> md </math> is the Hypothesized Mean Difference .
 
*Suppose md=0 which  indicates that sample means are hypothesized to be equal.
 
*Suppose md=0 which  indicates that sample means are hypothesized to be equal.
*alpha is the significance level which ranges from 0 to1.
+
*<math> alpha </math> is the significance level which ranges from 0 to 1.
*lv is the logical value like TRUE or FALSE.
+
*<math> lv </math> is the logical value like TRUE or FALSE.
 
*TRUE is indicating the result will display in new worksheet.Suppose we are omitted the lv value it will consider the value as FALSE.
 
*TRUE is indicating the result will display in new worksheet.Suppose we are omitted the lv value it will consider the value as FALSE.
 
*The t statistic of this function calculated by:
 
*The t statistic of this function calculated by:
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   2.alpha>1
 
   2.alpha>1
 
   3.ar1 and ar2 are having different number of data points.
 
   3.ar1 and ar2 are having different number of data points.
 
  
 
==Examples==
 
==Examples==

Revision as of 03:22, 3 February 2014

TTESTTWOSAMPLESEQUALVARIANCES(ar1,ar2,md,alpha,lv)


  • and are set of values.
  • is the Hypothesized Mean Difference.
  • is the significance level.
  • is the logical value.


Description

  • This function calculating the two Sample for equal variances determines whether two sample means are equal.
  • We can use this test when both:
  • 1.The two sample sizes are equal;
  • 2.It can be assumed that the two distributions have the same variance.
  • In and are two arrays of sample values. is the Hypothesized Mean Difference .
  • Suppose md=0 which indicates that sample means are hypothesized to be equal.
  • is the significance level which ranges from 0 to 1.
  • is the logical value like TRUE or FALSE.
  • TRUE is indicating the result will display in new worksheet.Suppose we are omitted the lv value it will consider the value as FALSE.
  • The t statistic of this function calculated by:
Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. TeX parse error: Double subscripts: use braces to clarify"): {\displaystyle t={\frac {{\bar {x_{1}}}-{\bar {x_{2}}}}{s_{x}_{1}.s_{x}_{2}.{\sqrt {\frac {2}{n}}}}}}
 ,where Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. TeX parse error: Double subscripts: use braces to clarify"): {\displaystyle s_{x}_{1}.s_{x}_{2}={\sqrt {\frac {1}{2}}}(s_{x}_{1}^{2}+s_{x}_{2}^{2})}
.
  • Here Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. TeX parse error: Double subscripts: use braces to clarify"): {\displaystyle s_{x}_{1}} and Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. TeX parse error: Double subscripts: use braces to clarify"): {\displaystyle s_{x}_{2}} are unbiased estimators of the variances of two samples.Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. TeX parse error: Double subscripts: use braces to clarify"): {\displaystyle s_{x}_{1}.s_{x}_{2}} is the grand standard deviation data 1 and data2 and n is the data points of two data set.
  • This function will give the result as error when
  1.any one of the argument is nonnumeric.
  2.alpha>1
  3.ar1 and ar2 are having different number of data points.

Examples

Spreadsheet
A B C D E F
1 10 15 18 27 12 34
2 17 20 25 39 9 14


  1. =TTESTSAMPLESEQUALVARIANCE(A1:F1,A2:F2,0.5)


See Also


References