Difference between revisions of "Manuals/calci/TTESTEQUALVARIANCES"

From ZCubes Wiki
Jump to navigation Jump to search
 
(6 intermediate revisions by 3 users not shown)
Line 4: Line 4:
 
*<math> alpha </math> is the significance level.
 
*<math> alpha </math> is the significance level.
 
*<math> lv </math> is the logical value.
 
*<math> lv </math> is the logical value.
 
  
 
==Description==
 
==Description==
Line 41: Line 40:
  
 
{| class="wikitable"
 
{| class="wikitable"
|+Spreadsheet
+
|+Result
 
|-
 
|-
 
! !! Variable 1 !! Variable 2  
 
! !! Variable 1 !! Variable 2  
Line 70: Line 69:
 
|-
 
|-
 
! T Critical One-Tail
 
! T Critical One-Tail
| 12 
+
| 0
 
|-
 
|-
 
! P(T<=t) Two-tail
 
! P(T<=t) Two-tail
Line 78: Line 77:
 
| 0.6998120613365443  
 
| 0.6998120613365443  
 
|}
 
|}
 +
 +
==Related Videos==
 +
 +
{{#ev:youtube|OHHhzLHakKA|280|center|TTESTEQUALVARIANCES}}
  
 
==See Also==
 
==See Also==
Line 84: Line 87:
 
*[[Manuals/calci/TINV  | TINV ]]
 
*[[Manuals/calci/TINV  | TINV ]]
 
*[[Manuals/calci/TTESTUNEQUALVARIANCES  | TTESTUNEQUALVARIANCES ]]
 
*[[Manuals/calci/TTESTUNEQUALVARIANCES  | TTESTUNEQUALVARIANCES ]]
 
  
 
==References==
 
==References==
 +
*[http://en.wikipedia.org/wiki/Student%27s_t-test Student's t-distribution]

Latest revision as of 14:03, 2 July 2015

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:

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)
Result
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

TTESTEQUALVARIANCES

See Also

References