# StatisticFormula Class

**.NET Framework 4.5**

Calculates statistical formulas.

**Namespace:**System.Web.UI.DataVisualization.Charting

**Assembly:**System.Web.DataVisualization (in System.Web.DataVisualization.dll)

The StatisticFormula type exposes the following members.

Name | Description | |
---|---|---|

Anova | The Anova formula determines the existence or absence of a statistically significant difference between the mean values of two or more groups of data. | |

BetaFunction | The beta function calculates the beta function value. | |

Correlation | The correlation formula shows the strength of the relationship that exists between two random variables. | |

Covariance | The covariance formula measures the degree of dependence that may exist between two random variables. | |

Equals(Object) | Determines whether the specified object is equal to the current object. (Inherited from Object.) | |

FDistribution | The F distribution formula calculates the probability for the F-distribution. | |

Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) | |

FTest | The F-test formula performs a two-sample F-test using F distribution, and is used to see if the samples have different variances. | |

GammaFunction | The gamma function calculates the gamma value. | |

GetHashCode | Serves as the default hash function. (Inherited from Object.) | |

GetType | Gets the Type of the current instance. (Inherited from Object.) | |

InverseFDistribution | The inverse F distribution formula calculates the inverse of the F cumulative distribution. | |

InverseNormalDistribution | The inverse normal distribution formula calculates the inverse of the standard normal cumulative distribution. The distribution has a mean of 0 and a standard deviation of one. | |

InverseTDistribution | The inverse t-distribution formula calculates the t-value of the Student's t-distribution as a function of probability and degrees of freedom. | |

Mean | The mean formula calculates the average, or mean, of data stored in a data series. | |

Median | The median formula calculates the median of the data stored in a data series. | |

MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) | |

NormalDistribution | The normal distribution formula calculates the value of the standard normal cumulative distribution. The distribution has a mean of 0 and a standard deviation of 1. | |

TDistribution | The t-distribution formula calculates the probability for the Student's t-distribution. | |

ToString | Returns a string that represents the current object. (Inherited from Object.) | |

TTestEqualVariances | The t-test with equal variances formula performs a t-test using Student's t-distribution with equal variances. | |

TTestPaired | The t-test paired formula performs a t-test using Student's t-distribution with paired samples. This is useful when there is an observed natural pairing in samples (for example, when a sample group is tested twice). | |

TTestUnequalVariances | The t-test with unequal variances formula performs a t-test using Student's t-distribution with unequal variances. | |

Variance | The variance formula calculates the variance within a group of data. | |

ZTest | The Z-test formula performs a Z-test using normal distribution. |

Windows 8.1, Windows Server 2012 R2, Windows 8, Windows Server 2012, Windows 7, Windows Vista SP2, Windows Server 2008 (Server Core Role not supported), Windows Server 2008 R2 (Server Core Role supported with SP1 or later; Itanium not supported)

The .NET Framework does not support all versions of every platform. For a list of the supported versions, see .NET Framework System Requirements.

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