Ttest2p: Difference between revisions
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===Purpose=== | ===Purpose=== | ||
Two sample paired t-test. | Two sample paired t-test. | ||
===Synopsis=== | ===Synopsis=== | ||
:result = | |||
:result = ttest2p(x,y,''test'') | |||
===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). | ||
* x = matrix (column vector) in which the sample data is stored. | ====Inputs==== | ||
* y = matrix (column vector) in which the sample data is stored. | |||
* ttest = [-1,{0},1] indicates what ttest is for: | * '''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: | The output (result) a structure with the following fields: | ||
* t = test statistic. | |||
* p = probability value | * '''t''' = test statistic. | ||
* mean = mean of x - y | |||
* var = variance of x - y | * '''p''' = probability value | ||
* n = length of x - y | |||
* se = standard error | * '''mean''' = mean of x - y | ||
* df = degress of freedom | |||
* hyp = hypothesis being tested | * '''var''' = variance of x - y | ||
* '''n''' = length of x - y | |||
* '''se''' = standard error | |||
* '''df''' = degress of freedom | |||
* '''hyp''' = hypothesis being tested | |||
===Examples=== | ===Examples=== | ||
result = ttest2p(x,y); | |||
result = ttest2p(x,y,test); | result = ttest2p(x,y); | ||
result = ttest2p(x,y,test); | |||
===See Also=== | ===See Also=== | ||
[[ttest1]], [[ttest2e]], [[ttest2u]] | [[ttest1]], [[ttest2e]], [[ttest2u]] | ||
Latest revision as of 15:01, 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);