Ttest2e: Difference between revisions
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===Description=== | ===Description=== | ||
Calculates a two sample t-test for samples (x) and (y) assuming equal variance. | Calculates a two sample t-test for samples (x) and (y) assuming equal variance. | ||
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 | ||
* mean1 = mean of x | * '''mean1''' = mean of x | ||
* mean2 = mean of y | * '''mean2''' = mean of y | ||
* var1 = variance of x | * '''var1''' = variance of x | ||
* var2 = variance of y | * '''var2''' = variance of y | ||
* n1 = length of x | * '''n1''' = length of x | ||
* n2 = length of y | * '''n2''' = length of y | ||
* pse = pooled standard error | * '''pse''' = pooled standard error | ||
* df = degress of freedom | * '''df''' = degress of freedom | ||
* hyp = hypothesis being tested | * '''hyp''' = hypothesis being tested | ||
===Examples=== | ===Examples=== | ||
result = ttest2e(x,y); | result = ttest2e(x,y); | ||
Revision as of 20:58, 2 September 2008
Purpose
Two sample t-test (assuming equal variance).
Synopsis
- result = ttest2e(x,y,test)
Description
Calculates a two sample t-test for samples (x) and (y) assuming equal variance.
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
- mean1 = mean of x
- mean2 = mean of y
- var1 = variance of x
- var2 = variance of y
- n1 = length of x
- n2 = length of y
- pse = pooled standard error
- df = degress of freedom
- hyp = hypothesis being tested
Examples
result = ttest2e(x,y); result = ttest2e(x,y,test);