Difference between revisions of "Manuals/calci/TTESTTWOSAMPLESUNEQUALVARIANCES"

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<div style="font-size:30px">'''TTESTTWOSAMPLESUNEQUALVARIANCES (Array1,Array2,HypothesizedMeanDifference,Alpha,NewTableFlag)'''</div><br/>
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<div style="font-size:25px">'''TTESTTWOSAMPLESUNEQUALVARIANCES (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.
 +
**TTESTTWOSAMPLESUNEQUALVARIANCES(), determines whether two sample means are distinct.
  
 
==Description==
 
==Description==
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| 0.6954828655202375
 
| 0.6954828655202375
 
|}
 
|}
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==Related Videos==
 +
 +
{{#ev:youtube|v=L-jfenou5hI|280|center|TTESTTWOSAMPLESUNEQUALVARIANCES}}
  
 
==See Also==
 
==See Also==

Latest revision as of 14:51, 6 December 2018

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


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

Description

  • This function calculating the two Sample for unequal variances determines whether two sample means also distinct.
  • We can use this test when both:
  • 1.the two sample sizes are may are may not be equal;
  • 2. The means and variances are distinct .
  • 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 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. and are the number of data points in two arrays. is not a pooled variance.
  • This function will give the result as error when
     1. any one of the argument is non-numeric.
     2.Alpha>1

Examples

Spreadsheet
A B C D E F G
1 12 21 9 18 27 37 41
2 19 8 45 29 14 10 11


  1. =TTESTTWOSAMPLESUNEQUALVARIANCES(A1:F1,A2:F2,3,0.5,0)
t-Test: Two-Sample Assuming Unequal Variances
Variable 1 Variable 2
Mean 23.571428571428573 19.428571428571427
Variance 146.61904761904762 177.6190476190476
Observations 7 7
Hypothesized Mean Difference 3
Degree Of Freedom 12
T- Statistics 0.1679225216302784
P(T<=t) One-tail 0.43472054489717515
T Critical One-Tail 0
P(T<=t) Two-tail 0.8694410897943503
T Critical Two-Tail 0.6954828655202375

Related Videos

TTESTTWOSAMPLESUNEQUALVARIANCES

See Also

References