Ttest2p: Difference between revisions

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===Description===
===Description===
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.
* y = 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:
* '''ttest''' = [-1,{0},1] indicates what ttest is for:
*  -1 - lower tail  H0: mean(x) <= mean(y)
'''-1''' - lower tail  H0: mean(x) <= mean(y)
*    0 - wo-tail    H0: mean(x) \~= mean(y) {default}
*    '''0''' - wo-tail    H0: mean(x) \~= mean(y) {default}
*    1 - upper tail  H0: mean(x) >= mean(y)
*    '''1''' - upper tail  H0: mean(x) >= mean(y)
OUTPUTS:
====OUTPUTS====
The output (result) a structure with the following fields:
The output (result) a structure with the following fields:
* t = test statistic.
* '''t''' = test statistic.
* p = probability value
* '''p''' = probability value
* mean = mean of x - y
* '''mean''' = mean of x - y
* var = variance of x - y  
* '''var''' = variance of x - y  
* n =  length of x - y  
* '''n''' =  length of x - y  
* se = standard error
* '''se''' = standard error
* df = degress of freedom  
* '''df''' = degress of freedom  
* hyp =  hypothesis being tested
* '''hyp''' =  hypothesis being tested
===Examples===
===Examples===
result = ttest2p(x,y);
result = ttest2p(x,y);

Revision as of 20:58, 2 September 2008

Purpose

Two sample paired t-test.

Synopsis

result = ttest2e(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