@ContinuousIntegrationTest(estimatedDuration = 0.0)
@Test(timeout = 30000, expected = InsufficientMeasurementsException.class)
public void testCalculateSampleVarianceSingleValue() {
meanAndStandardDeviation.compute(65.0);
double delta = 1e-10;
assertEquals(0.0, meanAndStandardDeviation.getSampleVariance(), delta);
}
@ContinuousIntegrationTest(estimatedDuration = 0.0)
@Test(timeout = 30000)
public void testCalculateMeanAndStandardDeviationSingleValue() {
meanAndStandardDeviation.compute(65.0);
double delta = 1e-10;
assertEquals(65.0, meanAndStandardDeviation.getAverage(), delta);
assertEquals(0.0, meanAndStandardDeviation.getVariance(), delta);
assertEquals(0.0, meanAndStandardDeviation.getStandardDeviation(), delta);
}
@ContinuousIntegrationTest(estimatedDuration = 0.0)
@Test(timeout = 30000)
public void testCalculateMeanAndStandardDeviationExample() {
double[] data = {65.0, 66.0, 67.0, 69.0, 70.0, 70.0, 70.0, 71.0, 71.0, 72.0, 73.0, 74.0, 76.0};
for (double measurement : data) {
meanAndStandardDeviation.compute(measurement);
}
double delta = 1e-10;
assertEquals(70.3076923076923, meanAndStandardDeviation.getAverage(), delta);
assertEquals(8.982248520710021, meanAndStandardDeviation.getVariance(), delta);
assertEquals(2.997039959812018, meanAndStandardDeviation.getStandardDeviation(), delta);
assertEquals(9.730769230769189, meanAndStandardDeviation.getSampleVariance(), delta);
}