| CentralMoment | Computes the given sample central moment. |
| ChiSquaredTest | Tests whether the sample is compatible with the given discrete distribution. |
| CorrectedStandardDeviation | Computes the Bessel-corrected standard deviation. |
| FisherFTest | Tests whether the variances of two samples are compatible. |
| FitToBeta | Finds the Beta distribution that best fits the given sample. |
| FitToExponential | Finds the exponential distribution that best fits the given sample. |
| FitToGamma | Finds the Gamma distribution that best fits the given sample. |
| FitToGumbel | Find the Gumbel distribution that best fit the given sample. |
| FitToLognormal | Finds the log-normal distribution that best fits the given sample. |
| FitToNormal | Finds the normal distribution that best fits the given sample. |
| FitToRayleigh | Finds the Rayleigh distribution that best fits the given sample. |
| FitToWald | Finds the Wald distribution that best fits a sample. |
| FitToWeibull | Finds the Weibull distribution that best fits the given sample. |
| InterquartileRange | Finds the interquartile range. |
| InverseLeftProbability | Finds the sample value corresponding to a given percentile. |
| KolmogorovSmirnovTest(IReadOnlyListDouble, ContinuousDistribution) | Tests whether the sample is compatible with the given distribution. |
| KolmogorovSmirnovTest(IReadOnlyListDouble, IReadOnlyListDouble) | Tests whether the sample is compatible with another sample. |
| KruskalWallisTest(IReadOnlyListIReadOnlyListDouble) | Performs a Kruskal-Wallis test on the given samples. |
| KruskalWallisTest(IReadOnlyListDouble) | Performs a Kruskal-Wallis test on the given samples. |
| KuiperTest | Tests whether the sample is compatible with the given distribution. |
| LeftProbability | Gets the fraction of values equal to or less than the given value. |
| MannWhitneyTest | Tests whether one sample median is compatible with another sample median. |
| Maximum | Finds the maximum value. |
| MaximumLikelihoodFit | Finds the parameters that make an arbitrary, parameterized distribution best fit the sample. |
| Mean | Computes the sample mean. |
| Median | Finds the median. |
| Minimum | Finds the minimum value. |
| OneWayAnovaTest(IReadOnlyCollectionIReadOnlyCollectionDouble) | Performs a one-way analysis of variance (ANOVA). |
| OneWayAnovaTest(IReadOnlyCollectionDouble) | Performs a one-way analysis of variance (ANOVA). |
| PopulationCentralMoment | Estimates the given central moment of the underlying population. |
| PopulationMean | Estimates the mean of the underlying population. |
| PopulationRawMoment | Estimates the given raw moment of the underlying population. |
| PopulationStandardDeviation | Estimates of the standard deviation of the underlying population. |
| PopulationVariance | Estimates of the variance of the underlying population. |
| RawMoment | Computes the given sample raw moment. |
| ShapiroFranciaTest | Performs a Shapiro-Francia test of normality on the sample. |
| SignTest | Tests whether the sample median is compatible with the given reference value. |
| Skewness | Computes the sample skewness. |
| StandardDeviation | Computes the sample standard deviation. |
| StudentTTest(IReadOnlyCollectionDouble, IReadOnlyCollectionDouble) | Tests whether one sample mean is compatible with another sample mean. |
| StudentTTest(IReadOnlyCollectionDouble, Double) | Tests whether the sample mean is compatible with the reference mean. |
| Trimean | Finds the tri-mean. |
| TwoWayAnovaTest | Performs a two-way analysis of variance. |
| Variance | Computes the sample variance. |
| ZTest | Performs a z-test to test whether the given sample is compatible with the given normal reference population. |