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Results 1 - 7 of 7 for populationStandardDeviation (0.1 sec)

  2. github.com/google/guava

    android/guava-tests/test/com/google/common/math/PairedStatsAccumulatorTest.java 

                    / (twoValuesAccumulator.xStats().populationStandardDeviation()
                    * twoValuesAccumulator.yStats().populationStandardDeviation()));
    assertThat(manyValuesAccumulator.pearsonsCorrelationCoefficient())
        .isWithin(ALLOWED_ERROR)
        .of(
            manyValuesAccumulator.populationCovariance()
                / (manyValuesAccumulator.xStats().populationStandardDeviation()
    Registered: Fri Dec 26 12:43:10 UTC 2025
    - Last Modified: Thu Dec 11 20:45:32 UTC 2025
    - 23.4K bytes
    - Viewed (0)
  3. github.com/google/guava

    guava-tests/test/com/google/common/math/StatsAccumulatorTest.java 

        assertThrows(IllegalStateException.class, () -> emptyAccumulator.populationStandardDeviation());
    assertThrows(
        IllegalStateException.class,
        () -> emptyAccumulatorByAddAllEmptyIterable.populationStandardDeviation());
    assertThrows(
        IllegalStateException.class,
        () -> emptyAccumulatorByAddAllEmptyStats.populationStandardDeviation());
    Registered: Fri Dec 26 12:43:10 UTC 2025
    - Last Modified: Thu Dec 11 20:45:32 UTC 2025
    - 36.9K bytes
    - Viewed (0)
  4. github.com/google/guava

    guava-tests/test/com/google/common/math/PairedStatsAccumulatorTest.java 

                    / (twoValuesAccumulator.xStats().populationStandardDeviation()
                    * twoValuesAccumulator.yStats().populationStandardDeviation()));
    assertThat(manyValuesAccumulator.pearsonsCorrelationCoefficient())
        .isWithin(ALLOWED_ERROR)
        .of(
            manyValuesAccumulator.populationCovariance()
                / (manyValuesAccumulator.xStats().populationStandardDeviation()
    Registered: Fri Dec 26 12:43:10 UTC 2025
    - Last Modified: Thu Dec 11 20:45:32 UTC 2025
    - 23.4K bytes
    - Viewed (0)
  5. github.com/google/guava

    android/guava-tests/test/com/google/common/math/PairedStatsTest.java 

            .isWithin(ALLOWED_ERROR)
        .of(
            TWO_VALUES_PAIRED_STATS.populationCovariance()
                / (TWO_VALUES_PAIRED_STATS.xStats().populationStandardDeviation()
                    * TWO_VALUES_PAIRED_STATS.yStats().populationStandardDeviation()));
    // For datasets of many double values, we test many combinations of finite and non-finite
    // y-values:
    for (ManyValues values : ALL_MANY_VALUES) {
    Registered: Fri Dec 26 12:43:10 UTC 2025
    - Last Modified: Thu Dec 11 20:45:32 UTC 2025
    - 14K bytes
    - Viewed (0)
  6. github.com/google/guava

    guava-tests/test/com/google/common/math/PairedStatsTest.java 

            .isWithin(ALLOWED_ERROR)
        .of(
            TWO_VALUES_PAIRED_STATS.populationCovariance()
                / (TWO_VALUES_PAIRED_STATS.xStats().populationStandardDeviation()
                    * TWO_VALUES_PAIRED_STATS.yStats().populationStandardDeviation()));
    // For datasets of many double values, we test many combinations of finite and non-finite
    // y-values:
    for (ManyValues values : ALL_MANY_VALUES) {
    Registered: Fri Dec 26 12:43:10 UTC 2025
    - Last Modified: Thu Dec 11 20:45:32 UTC 2025
    - 14K bytes
    - Viewed (0)
  7. github.com/google/guava

    guava/src/com/google/common/math/Stats.java 

      @Override
  public String toString() {
    if (count() > 0) {
      return MoreObjects.toStringHelper(this)
          .add("count", count)
          .add("mean", mean)
          .add("populationStandardDeviation", populationStandardDeviation())
          .add("min", min)
          .add("max", max)
          .toString();
    } else {
      return MoreObjects.toStringHelper(this).add("count", count).toString();
    }
  }
    Registered: Fri Dec 26 12:43:10 UTC 2025
    - Last Modified: Tue Jul 08 18:32:10 UTC 2025
    - 24.8K bytes
    - Viewed (0)
  8. github.com/google/guava

    android/guava/src/com/google/common/math/StatsAccumulator.java 

       * Double#NEGATIVE_INFINITY}, or {@link Double#NaN}) then the result is {@link Double#NaN}.
   *
   * @throws IllegalStateException if the dataset is empty
   */
  public final double populationStandardDeviation() {
    return Math.sqrt(populationVariance());
  }

  /**
   * Returns the <a href="http://en.wikipedia.org/wiki/Variance#Sample_variance">unbiased sample
    Registered: Fri Dec 26 12:43:10 UTC 2025
    - Last Modified: Mon Apr 14 16:36:11 UTC 2025
    - 15.8K bytes
    - Viewed (0)
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