throw new IllegalArgumentException("bad significance level: " + alpha); return (homoscedasticTTest(sample1, sample2) < alpha);
throws IllegalArgumentException, MathException { checkSignificanceLevel(alpha); return homoscedasticTTest(sample1, sample2) < alpha;
throws IllegalArgumentException, MathException { checkSignificanceLevel(alpha); return homoscedasticTTest(sample1, sample2) < alpha;
throw new IllegalArgumentException("insufficient data"); return homoscedasticTTest(StatUtils.mean(sample1), StatUtils.mean(sample2), StatUtils.variance(sample1), StatUtils.variance(sample2), (double) sample1.length,
throw new IllegalArgumentException("insufficient data for t statistic"); return homoscedasticTTest(sampleStats1.getMean(), sampleStats2.getMean(), sampleStats1.getVariance(), sampleStats2.getVariance(), (double) sampleStats1.getN(),
checkSampleData(sample1); checkSampleData(sample2); return homoscedasticTTest(StatUtils.mean(sample1), StatUtils.mean(sample2), StatUtils.variance(sample1), StatUtils.variance(sample2), sample1.length,
checkSampleData(sample1); checkSampleData(sample2); return homoscedasticTTest(StatUtils.mean(sample1), StatUtils.mean(sample2), StatUtils.variance(sample1), StatUtils.variance(sample2), sample1.length,
checkSampleData(sampleStats1); checkSampleData(sampleStats2); return homoscedasticTTest(sampleStats1.getMean(), sampleStats2.getMean(), sampleStats1.getVariance(), sampleStats2.getVariance(), sampleStats1.getN(),
checkSampleData(sampleStats1); checkSampleData(sampleStats2); return homoscedasticTTest(sampleStats1.getMean(), sampleStats2.getMean(), sampleStats1.getVariance(), sampleStats2.getVariance(), sampleStats1.getN(),