Ttest2p: Difference between revisions

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===Purpose===
===Purpose===


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===Synopsis===
===Synopsis===


:result = ttest2e(x,y,''test'')
:result = ttest2p(x,y,''test'')


===Description===
===Description===
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Calculates a two sample paired t-test for samples (x) and (y).
Calculates a two sample paired t-test for samples (x) and (y).


====INPUTS====
====Inputs====


* '''x''' = matrix (column vector) in which the sample data is stored.
* '''x''' = matrix (column vector) in which the sample data is stored.
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* '''ttest''' = [-1,{0},1] indicates what ttest is for:
* '''ttest''' = [-1,{0},1] indicates what ttest is for:
::  '''-1''' - lower tail  H0: mean(x) <= mean(y)
::    '''0''' - wo-tail    H0: mean(x) \~= mean(y) {default}
::    '''1''' - upper tail  H0: mean(x) >= mean(y)


*  '''-1''' - lower tail  H0: mean(x) <= mean(y)
====Outputs====
 
*    '''0''' - wo-tail    H0: mean(x) \~= mean(y) {default}
 
*    '''1''' - upper tail  H0: mean(x) >= mean(y)
 
====OUTPUTS====


The output (result) a structure with the following fields:
The output (result) a structure with the following fields:
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===Examples===
===Examples===


result = ttest2p(x,y);
result = ttest2p(x,y);


result = ttest2p(x,y,test);
result = ttest2p(x,y,test);


===See Also===
===See Also===


[[ttest1]], [[ttest2e]], [[ttest2u]]
[[ttest1]], [[ttest2e]], [[ttest2u]]

Latest revision as of 16:01, 22 February 2013

Purpose

Two sample paired t-test.

Synopsis

result = ttest2p(x,y,test)

Description

Calculates a two sample paired t-test for samples (x) and (y).

Inputs

  • x = matrix (column vector) in which the sample data is stored.
  • y = matrix (column vector) in which the sample data is stored.
  • ttest = [-1,{0},1] indicates what ttest is for:
-1 - lower tail H0: mean(x) <= mean(y)
0 - wo-tail H0: mean(x) \~= mean(y) {default}
1 - upper tail H0: mean(x) >= mean(y)

Outputs

The output (result) a structure with the following fields:

  • t = test statistic.
  • p = probability value
  • mean = mean of x - y
  • var = variance of x - y
  • n = length of x - y
  • se = standard error
  • df = degress of freedom
  • hyp = hypothesis being tested

Examples

result = ttest2p(x,y);
result = ttest2p(x,y,test);

See Also

ttest1, ttest2e, ttest2u