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 a hash function for a particular type. (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, 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.
