Difference between revisions of "Manuals/calci/TTESTTWOSAMPLESEQUALVARIANCES"

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<div style="font-size:30px">'''TTESTTWOSAMPLESEQUALVARIANCES (Array1,Array2,HypothesizedMeanDifference,Alpha,NewTableFlag)'''</div><br/>
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<div style="font-size:25px">'''TTESTTWOSAMPLESEQUALVARIANCES (Array1,Array2,HypothesizedMeanDifference,Alpha,NewTableFlag)'''</div><br/>
 
*<math>Array1 </math> and <math> Array2 </math>  are set of values.
 
*<math>Array1 </math> and <math> Array2 </math>  are set of values.
 
*<math>HypothesizedMeanDifference </math> is the  Hypothesized Mean Difference.
 
*<math>HypothesizedMeanDifference </math> is the  Hypothesized Mean Difference.
 
*<math> Alpha </math> is the significance level.
 
*<math> Alpha </math> is the significance level.
 
*<math> NewTableFlag </math> is either 0 or 1.
 
*<math> NewTableFlag </math> is either 0 or 1.
 +
**TTESTTWOSAMPLESEQUALVARIANCES(), determines whether two sample means are equal.
  
 
==Description==
 
==Description==
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| 0.6998120613365443  
 
| 0.6998120613365443  
 
|}
 
|}
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==Related Videos==
 +
 +
{{#ev:youtube|v=-pTbC_tBy6w|280|center|T Test two sample Equal variances}}
  
 
==See Also==
 
==See Also==

Latest revision as of 15:48, 6 December 2018

TTESTTWOSAMPLESEQUALVARIANCES (Array1,Array2,HypothesizedMeanDifference,Alpha,NewTableFlag)


  • and are set of values.
  • is the Hypothesized Mean Difference.
  • is the significance level.
  • is either 0 or 1.
    • TTESTTWOSAMPLESEQUALVARIANCES(), determines whether two sample means are equal.

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 HypothesizedMeanDifference=0 which indicates that sample means are hypothesized to be equal.
  • is the significance level which ranges from 0 to 1.
  • is either 0 or 1.
  • "1" is indicating the result will display in new worksheet.Suppose we are omitted the NewTableFlag value it will consider the value as "0".
  • The t statistic of this function calculated by:

where

  • Here and are unbiased estimators of the variances of two samples. 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 non-numeric.
  2.Alpha>1
  3. and  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. =TTESTTWOSAMPLESEQUALVARIANCES(A1:F1,A2:F2,2,0.5,0)
t-Test: Two-Sample Assuming Equal Variances
Variable 1 Variable 2
Mean 19.333333333333332 20.666666666666668
Variance 87.06666666666666 109.86666666666667
Observations 6 6
Pooled Variance 98.46666666666667
Hypothesized Mean Difference 2
Degree Of Freedom 10
T- Statistics -0.5818281835787091
P(T<=t) One-tail 0.28678199670723614
T Critical One-Tail 0
P(T<=t) Two-tail 0.5735639934144723
T Critical Two-Tail 0.6998120613365443

Related Videos

T Test two sample Equal variances

See Also

References