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);