Ttest2e: Difference between revisions
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===Purpose=== | ===Purpose=== | ||
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* '''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) | |||
:: '''0''' - wo-tail H0: mean(x) \~= mean(y) {default} | |||
:: '''1''' - upper tail H0: mean(x) >= mean(y) | |||
====Outputs==== | ====Outputs==== | ||
Revision as of 12:24, 9 October 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);