Ttest2p: Difference between revisions

From Eigenvector Research Documentation Wiki
Jump to navigation Jump to search
imported>Jeremy
(Importing text file)
imported>Jeremy
(Importing text file)
Line 12: Line 12:
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.
Line 26: Line 26:
*    '''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:

Revision as of 17:35, 3 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