# 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. |

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