Examples of TTest

org.apache.commons.math3.stat.inference.TTest

An implementation for Student's t-tests.

Tests can be:

One-sample or two-sample
One-sided or two-sided
Paired or unpaired (for two-sample tests)
Homoscedastic (equal variance assumption) or heteroscedastic (for two sample tests)
Fixed significance level (boolean-valued) or returning p-values.

Test statistics are available for all tests. Methods including "Test" in in their names perform tests, all other methods return t-statistics. Among the "Test" methods, double-valued methods return p-values; boolean-valued methods perform fixed significance level tests. Significance levels are always specified as numbers between 0 and 0.5 (e.g. tests at the 95% level use alpha=0.05).

Input to tests can be either double[] arrays or {@link StatisticalSummary} instances.

Uses commons-math {@link org.apache.commons.math3.distribution.TDistribution}implementation to estimate exact p-values.

org.boris.expr.function.excel.TTEST

    this.digits = digits;
  }
  
  private boolean signifTest(double[] s1, double[] s2) {
    if (doTTest) {
      TTest ttest = new TTest();
      return ttest.tTest(s1, s2, pValue);


    } else {
      MannWhitneyUTest mwuTest = new MannWhitneyUTest();
      return mwuTest.mannWhitneyUTest(s1, s2) < pValue;
    }

        TRIMMEAN t = new TRIMMEAN();
        fail("TRIMMEAN not implemented");
    }


    public void testTTEST() throws Exception {
        TTEST t = new TTEST();
        fail("TTEST not implemented");
    }

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Examples of TTest

Examples of org.apache.commons.math3.stat.inference.TTest

Examples of org.boris.expr.function.excel.TTEST